• Regeln für den Video-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Einteilung

    - Folgende Formate gehören in die angegeben Bereiche:
    - Filme: Encodierte Filme von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format DivX, XviD und x264.
    - DVD: Filme im Format DVD5, DVD9 und HD2DVD.
    - HD: Encodierte Filme mit der Auflösung 720p oder darüber von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format x264.
    - 3D: Encodierte Filme von BluRay, die in einem 3D Format vorliegen. Dies gilt auch für Dokus, Animation usw.
    - Serien: Cartoon/Zeichentrick, Anime, Tutorials, Dokumentationen, Konzerte/Musik, Sonstiges sind demnach in die entsprechenden Bereiche einzuordnen, auch wenn sie beispielsweise im High Definition-Format oder als DVD5/DVD9/HD2DVD vorliegen. Ausnahme 3D.
    - Bereich Englisch: Englische Releases gehören immer in diesen Bereich.
    - Bereich Talk: Der Bereich, in dem über die Releases diskutiert werden kann, darf, soll und erwünscht ist.


    Angebot/Beitrag erstellen

    - Ein Beitrag darf erst dann erstellt werden, wenn der Upload bei mindestens einem OCH komplett ist. Platzhalter sind untersagt.
    - Bei einem Scenerelease hat der Threadtitel ausschließlich aus dem originalen, unveränderten Releasenamen zu bestehen. Es dürfen keine Veränderungen wie z.B. Sterne, kleine Buchstaben o.ä. vorgenommen werden. Ausnahme Serienbörse:
    - Bei einem Sammelthread für eine Staffel entfällt aus dem Releasename natürlich der Name der Folge. Beispiel: Die Simpsons S21 German DVDRip XviD - ITG
    - Dementsprechend sind also u.a. verboten: Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist.

    Aufbau des Angebots und Threadtitel

    Der Titel nach folgendem Muster erstellt zu werden. <Name> [3D] [Staffel] [German] <Jahr> <Tonspur> [DL] [Auflösung] <Quelle> <Codec> - <Group>
    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
    Beispiel: The Dark Knight 2008 DTS DL 1080p BluRay x264 iND
    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
    Beispiel: Die Simpsons S20 German AC3 720p BluRay x264 iND
    Beispiel: Sword Art Online II Ger Sub 2014 AAC 1080p WEBRip x264 - peppermint
    Entsprechend sind also u.a. verboten: Sonderzeichen wie Klammern, Sterne, Ausrufezeichen, Unterstriche, Anführungszeichen / Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist
    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
    Überschrift entspricht dem Threadtitel
    Cover
    kurze Inhaltsbeschreibung
    Format, Größe, Dauer sind gut lesbar für Downloader außerhalb des Spoilers zu vermerken
    Nfo sind immer Anzugeben und selbige immer im Spoiler in Textform.
    Sind keine Nfo vorhanden z.B. Eigenpublikationen, sind im Spoiler folgende Dateiinformationen zusätzlich anzugeben :
    Quelle
    Video (Auflösung und Bitrate)
    Ton (Sprache, Format und Bitrate der einzelnen Spuren)
    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
    Bei SD kann auf diese zusätzlichen Dateiinformationen verzichtet werden.

    Alle benötigten Passwörter sind, sofern vorhanden, in Textform im Angebot anzugeben.
    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


    Releases

    - Sind Retail-Release verfügbar, sind alle anderen Variationen untersagt. Ausnahmen: Alle deutschen Retail-Release sind CUT, in diesem Fall sind dubbed UNCUT-Release zulässig.
    - Im Serien-Bereich gilt speziell: Wenn ein Retail vor Abschluss einer laufenden Staffel erscheint, darf diese Staffel noch zu Ende gebracht werden.62
    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
    - P2P und Scene Releases dürfen nicht verändert oder gar unter einem iND Tag eingestellt werden.


    Support, Diskussionen und Suche

    - Supportanfragen sind entweder per PN oder im Bereich Talk zu stellen.
    - Diskussionen und Bewertungen sind im Talk Bereich zu führen. Fragen an die Uploader haben ausschließlich via PN zu erfolgen, und sind in den Angeboten untersagt.
    - Anfragen zu Upload-Wünschen sind nur im Bereich Suche Video erlaubt. Antworten dürfen nur auf Angebote von MyBoerse.bz verlinkt werden.


    Verbote

    - Untersagt sind mehrere Formate in einem einzigen Angebotsthread, wie beispielsweise das gleichzeitige Anbieten von DivX/XviD, 720p und 1080p in einem Thread. Pro Format, Release und Auflösung ist ein eigener Thread zu eröffnen.
    - Grundsätzlich ebenso verboten sind Dupes. Uploader haben sich an geeigneter Stelle darüber zu informieren, ob es sich bei einem Release um ein Dupe handelt.
    - Gefakte, nur teilweise lauffähige oder unvollständige Angebote sind untersagt. Dies gilt auch für eigene Publikationen, die augenscheinlich nicht selbst von z.B. einer DVD gerippt wurden. Laufende Serien, bei denen noch nicht alle Folgen verfügbar sind, dürfen erstellt und regelmäßig geupdatet werden.
    - Untersagt sind Angebote, welche nur und ausschließlich in einer anderen Sprache als deutsch oder englisch vorliegen. Ausnahmen sind VORHER mit den Moderatoren zu klären.


    Verstoß gegen die Regeln

    - Angebote oder Beiträge, die gegen die Forenregeln verstoßen, sind über den "Melden"-Button im Beitrag zu melden.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.

++ Premium IPTV ++ 7000 Live Sender ++ UHD Qualität ++ Mediathek mit 18.000 Inhalten ++


VenneTV


Englische Tutorials

Full Stack Web Development using the MERN stack and DEVOPS

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Full Stack Web Development using the MERN stack and DEVOPS
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 140 lectures (33h 58m) | Size: 15 GB

Learn all the technology needed to become a modern full stack web developer

What you'll learn:
NodeJS, Express, MongoDB, React, Docker and CI/CD

Requirements
Basic knowledge of NodeJS and ExpressJS or and web frameworks


Description
Complete new course that will help you attain your dreams of becoming a full stack web developer. The course is designed out of my personal experience as a software developer and building several web applications. This course touches all the modern technologies need today, including but not limited to nodeJS, expressJS, reactJS, containers, continuous integration and continuous delivery (CI/CD) and the google cloud platform. In todays world, companies are project requirements as a web developer has drastically grown and will continue to grow as companies demand to sort the best amongst us all.

The primary goal of this course is to expose you to help software developers write good APIs using expressJS, test those APIs using postman and send anticipated data to a front end app while handling errors. We also looked at containerizing an express application and pushing the container to dockerhub using a CI/CD offered by travis-ci. Like that wasn't enough, we also went on to talk about google cloud app engine and hosted our application there. As a bonus, we used google cloud storage to save our static images. On the front end, we used reactJS. We explored both functional and class based components. This was consciously done because a lot of companies still use class based components. We also used redux for state management.

While lasting over 30 hours, the course focused on key concepts that will help you get the right understanding.

Who this course is for
Beginners

Homepage

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Chinese Language & Culture Intermeditate Course: HSK1 (2/3)

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Chinese Language & Culture Intermeditate Course: HSK1 (2/3)
Created by Sanela Ksela | Published 2/2021
Duration: 5h 56m | 5 sections | 32 lectures | Video: 1280x720, 44 KHz | 7.4 GB
Genre: eLearning | Language: English + Sub

Learning Chinese language has never been more simple and interesting. Learn and obtain the HSK 2 certification.



What you'll learn
How to form more complicated sentences in Chinese language.
Get one step closer to gaining the knowledge for the HSK 2
Colours and the structure "colour" + "object"
Food, fruits and drinks
Expressing needs
Forming sentences using interrogative words "who", "whose", "why", "when", "in which way" etc.
Expressing time (months, days of the week, hour) and location
Expressing opinion + adjectives
Shopping
The verb "to have" (possesion and past tense)
Chinese proverbs and Chinese literature
Show more
Show less

Requirements
It's recommendable to first complete the Chinese Language & Culture Beginner's Course: HSK2 (1/3)Even if you haven't completed the above mentioned course, you should still be able to follow the course without any big problem, because the instructor always briefly explains the words and expressions that were taught there.

Description
Chinese language can be one of the most attractive and at the same time one of the most useful languages to learn.
You might have also heard that it is one of the most difficult languages to learn. Well, I am here to tell you, that this statement is not true - at least not when you are studying with me.
In this comprehensive Chinese language intermediate course, you are going to build on the knowledge you gained during the Beginner's course, so you will be able to form more complicated sentences and get a stronger feeling on how Chinese language actually works and how it is connected with Chinese culture.
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Learn and Master Chinese Language in this Easy-To-Learn-Chinese Comprehensive Course.
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In this course you are going to:
Learn how to form more complicated sentences,
Use almost all of the interrogative words in Chinese language,
Practice the right pronunciation,
Be able to ask for and tell the location and time,
Learn how to express the possesion of something,
Explore Chinese history, literature, arts and philosophy,
Have plenty of opportunities to practice written, spoken and listening Chinese,
Dive deeper into Chinese culture,
Give yourself the opportunity to learn Chinese in a unique and interesting way,
etc. etc.

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Artstation - Character Skin Texturing Course (CSTC)

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Artstation - Character Skin Texturing Course (CSTC)
Video: 1920x1072, mp4 | Audio: AAC-LC, 160 kb/s, 2 channels | Genre: eLearning
Duration: 02:19:48 | Language: English & Spanish | File size: 13 GB

Are you struggling to create realistic skin textures for your human character models? you don't know how to paint colored skin? then this is the course for you. This course is geared for both beginners and intermediates at Substance Painter, it's available in English and Spanish.

Topics covered:
- How to import the meshes and project set up.
- Baking Process.
- How to fix baking artifacts.
- White skin female head texturing.
- Black skin male head texturing.
- Roughness map creation.
- Subsurface Scattering map creation.
- Quick render (mainly with guide).
- How to export textures.
- Limb texturing (white and black skin).
- Torso texturing (white and black skin).

What you get
- 9 subtitled and musicalized video tutorials showing my workflow for texturing white and black skin for every body part type, with tips and tricks I use.
- 7 Step-by-step guides detailing the specifications of each layer of all the maps (Diffuse, Roughness and Scattering).
- 4 Finished Substance Painter files.

Screenshots
Artstation - Character Skin Texturing Course (CSTC)Artstation - Character Skin Texturing Course (CSTC)Artstation - Character Skin Texturing Course (CSTC)

Homepage

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Unreal Engine 4 - Infinite/Endless Runner (Android and iOS)

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Unreal Engine 4 - Infinite/Endless Runner (Android and iOS)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 27 lectures (8h 11m) | Size: 6.9 GB

Learn to make a complete endless runner games like temple run/ subway surfer with options and a store page

What you'll learn:
Learn game development using version 4.26 of Unreal Engine 4
Learn the basics of blueprint
Learn the basics of UI in UE4
Learn the basic of UE4's Animation System
Learn how to make a mobile game

Requirements
Desktop PC with Windows 7 (or later) 64-bit
8 GB RAM
Quad-core Intel or AMD processor, 2.5 GHz or faster.
Unreal Engine 4 will run on desktops and laptops with specifications under these, but performance may be affected
NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher.


Description
Hello everyone, welcome to my first udemy course. This is a Complete Blueprints Only Course For Beginners.

Learn to make a complete endless runner game like temple run/ subway surfer. We will learn everything from scratch, from spawning the infinite floor, to the options menu, to the store page.

You do not require any background knowledge of Unreal engine 4 or Blueprints.

You do not require any programming knowledge.

You will only require :

A pc/ laptop powerful enough to run Unreal Engine 4.

Your will to learn and participate in the course.

We will be using Unreal's visual scripting language (Blueprints) to make the whole game launch ready.

The course will be updated every week, since the game will take time to be completed, with main menu, store and options.

We will add corner turns and tilting of the mobile to move left and right. And swipe right and left to turn corners.

The purchase price might go up once the course has been completed.

All the items used are free to download from Unreal Marketplace or will be provided to you in the resources.

This course will be updating with time, so at the end you will have a game that looks more or less like temple run.

Who this course is for
This course is for students who are absolute beginners to ue4 and want to script their game using blueprints.
No programming knowledge required

Homepage

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Ultimate Hands On 3D CAD MODELLING Solidworks Course

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Ultimate Hands On 3D CAD MODELLING Solidworks Course
Created by Engineering & CAD School | Published 4/2021
Duration: 11h 54m | 25 sections | 178 lectures | Video: 1280x720, 44 KHz | 6.2 GB
Genre: eLearning | Language: English + Sub

Learn Sketching, Part Modelling, Assembly, Drawings, Rendering, Animation and Modelling From Photographs



What you'll learn
After completing this course you will be able to confidently produce complex 3D CAD models
Be ready to employ your skills in real industry environment
Understand Solidworks in wider context by creating a product from a sketch to video animation
Learn about sketching, part modelling, assembly creation, rendering, animation, evaluation tools and modelling from photographs.

Requirements
PCSolidworks 2016 software or newer versionBasic knowledge of Windows PCNo need for prior Solidworks experience

Description
This is ultimate hands-on Solidworks course. All you need to know to become confident and skillful user and become ready to employ your skills in industry environment. Course starts from scratching through creating 3D objects, assembly and drawing creation, rendering and animation to modelling from picture. Basically, it covers full process of model creation to the final stage of presenting a model with real life images or animation videos. Upon completion you'll be able to carry Solidworks in your hands safely and autonomously.
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Why Solidworks?
Solidworks is the most popular design tool for creating 3D products and technical drawings. Millions of people use it to design anything from 3D-printed toys all the way up to mechanical vehicles, heavy machines and different products of everyday life.
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What this course covers?
1. How to get around in Solidworks application and how to create a Solidworks file. Next step is sketching where are explained sketch tools (Line, Circle, Rectangle, Slot, Spline, Fillet, Chamfer, Mirror, Linear and circular sketch pattern, Convert and offset entities, Polygon...).
2. How to use those sketches to create a 3D model. All main tools for working with 3D model are explained (Extruded Boss, Extruded Cut, Revolved Boss, Revolved Cut, Swept Boss, Lofted Boss, Hole Wizard, Fillet, Chamfer, Mirror, Linear pattern, Rib, Draft, Shell...). As well how to create a new plane, new coordinate system, how to calculate mass, volume, and center of mass.
3. How to use parts to create assembly. How to define relations between parts in assembly using mates. All the basic mates (Coincident, concentric, parallel, perpendicular, distance, angle, tangent...), advanced mates (Width, Distance and angle, Width, Profile center, Path mate, Symmetric...) and mechanical mates (Hinge, Cam, Gear, Screw.).
4. How to create engineering drawings. Different drawing views, how to put dimensions, how to use symbols such as surface finish and welding. As well how to create Bill of Materials (BOM) table and much more.
5. How to model a product using picture (.jpg file) to get as much as possible realistic design.
6. How to evaluate your model using Compare documents, Part reviewer, Measure, Symmetry check, Performance Evaluation...
7. How to create photorealistic images and how to create animation videos. It is explained how to set up a camera, lights, appearance and scene. How to render a model and how to set up a Schedule rendering. As well how set up a motors in animations video, how to change appearance and position of the model in animation video. And in the last lectures is shown how to create an walkthrough videos.
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What makes this course different?
1. It covers all important tools and techniques necessary to become competitive Solidworks user today.
2. Exercises after each chapter will build confidence in your skills.
3. No experience. This course will teach you from zero. You don't need to have experience at all.
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With this knowledge that you will gain here you will be ready to dive into the industry environment and work on advanced design problems.
\n
If you find that any of this would beneficial for you and will help you to achieve your goals, ENROLL and begin your CAD journey!

Who this course is for:Absolute beginners and intermediate studentsIndividuals interested in 3D modelingIndividuals interested to level up career in 3D modeling

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The Complete C Programming Bootcamp

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The Complete C Programming Bootcamp
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 160 lectures (25h 4m) | Size: 5.86 GB

Master C programming in Visual Studio Code. Learn pointers, macro and low level data manipulation. Embedded ready.

What you'll learn:
Be able to create professional C programs with Visual Studio Code.
Take on many challenges to create a portfolio of C projects.
Master the use of pointers.
Understand macros and the preprocessor.
Be able to use C language to program firmware for embedded systems.
Master the best technology to develop performance-critical applications.
Work in system programming or in real-time programming.
Learn professional developer best practices.

Requirements
No programming experience needed - We'll guide you through fundamentals towards advanced topics
A Mac or PC computer with access to the internet
No paid software required - We'll develop all projects in Visual Studio Code, which is free


Description
Welcome to The Complete C Programming Bootcamp, the only course you need to become a skilled C developer. It doesn't matter if you are an absolute beginner or come from technologies like python or javascript. Together we will walk the path that will make you a pro in a language that is the foundation of modern computer science.

C is the most natural language when you learn to think the way a computer thinks. By learning C, you connect with everything that happens under the hood in your system. C is the key to developing performance-critical solutions, and this course is the key to exploring every detail of this programming language.

With Byte Garage, you will learn everything you need to become a true professional. We don't just scratch the surface. You will discover all the background, good practices, and things you need to pay special attention to with us.

This is a brand new course, coming from a brand new team. Here some topics you will learn:

Data Types and Variables

Operators

Control Flow

Functions

Debugging

Pointers

Arrays

Strings

Dynamic Memory Allocation

Structures

Unions

Preprocessor and Macros

File Input and Output

Modular Programming

This course is particularly suitable for:

complete beginners who want to learn programming in C

who want to learn programming closely with bare metal

who wants to work on the firmware of embedded systems and microcontrollers

who wants to work on high performance, high load, real-time software

programmers who come from high-level languages curious to find out what happens under the hood

Who this course is for
Who wants to become a C developers
Who wants to learn the basics and good programming practices
Firmware developers who want to improve their knowledge of the C language
Who wants to program thinking closely with bare metal
Who wants to know more details on low-level things
Arduino developers who want to become more professional
Python developers who want to understand what's going on under the hood

Homepage

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React Native Bootcamp for Beginners & Make 20 Projects

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React Native Bootcamp for Beginners & Make 20 Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 160 lectures (11h 27m) | Size: 5.74 GB

The practical way to learn React Native, using Project based approach. We will build 20 Projects.

What you'll learn:
Developing iOS and Android apps using React Native
React Native
Expo
Integrating Payments
Integrating Firebase into React Native apps
Working with Backend for React Native apps
Integrating APIs into React Native apps

Requirements
Basic of JavaScript will be beneficiary


Description
Welcome to the React Native Bootcamp for Beginners. In this course, You will learn The React Native using a Project-based approach. we will make more than 20 projects.

What is React Native?

Well, it's the library, using React Native we can produce Native iOS and Android apps.

And most importantly, using the Same code.

React Native is used by many big companies, and it's a very popular approach to make Good Quality, high performance, reliable apps for Business.

What are the apps that we are going to make in this course?

Flip A Coin

Roll the Dice

Drum Pad App

Weather App

News App

Remember it app

Quiz (Trivia) App

Text To Speech App

Payment App

Contact App

And More ...

What topics are covered?

Flexbox

Layouts

Components

React Hooks

React Class-based components

React Functional Components

React Navigation

API integration in React Native

Payments integration in React Native (Stripe)

Firebase integration in React Native

React Native and Expo

Design Basics (Bonus)

For more, check the curriculum.

Some information about me:

My name is Dhruvil, I am a Freelance Mobile App Developer. through my experience, I have crafted this course to make you be able to do freelance work or job by making good quality apps using React Native & Expo.

So what are you waiting for? Let's meet inside the Course.

Who this course is for
Beginner React Native Course
Practical way to Learn React Native
Practical way for Learning to Make Android and iOS Apps

Homepage

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MERN Stack : React ,Redux ,Node ,Mongo - Pizza Delivery App

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MERN Stack : React ,Redux ,Node ,Mongo - Pizza Delivery App
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 50 lectures (10h 21m) | Size: 6.24 GB

Build a Complete MERN Pizza Delivery application from scratch with React , Node , Express

What you'll learn:
Advanced Topics in React
Redux
Redux Thunk
Performing Asynchronus operations with redux-thunk
Managing State with Redux
Cart Functionality
Common Payment Gateway Integration
User Authentication
Filtering Items in Redux State
Deploying Application to HEROKU

Requirements
Javascript Basics
React Basics
Node Basics


Description
This is a Full Stack (MERN) Pizza Delivery Application developed using React and React for Front End , Redux-Thunk for Asynchronous operations,

Node JS for Runtime environment , Express JS for Backend Routing and Mongo DB for Database

In this course we will implement the following features in the Pizza Delivery Application.

Working with Redux and Redux-Thunk

Add to cart Feature

Update Quantity in cart

Delete Products from cart

User Authentication

Common Payment Gateway Integration

Paying amount with stripe

Placing Orders

Store orders in database

Retrieve Orders to user profile

User Dashboard

Admin Dashboard

Manage Users , Products , Orders in Admin Panel

Protected routes for admin panel

Pushing Application to GITHUB.

Version Control using GIT

By the end of the courses you will know how to work with redux states ,reducers, Middelwares including the payment gateway.

24/7 Q/A Support.

MERN is one of several variations of the MEAN stack (MongoDB Express Angular Node), where the traditional Angular.js frontend framework is replaced with React.js. Other variants include MEVN (MongoDB, Express, Vue, Node), and really any frontend JavaScript framework can work.

Express and Node make up the middle (application) tier. Express.js is a server-side web framework, and Node.js the popular and powerful JavaScript server platform. Regardless of which variant you choose, ME(RVA)N is the ideal approach to working with JavaScript and JSON, all the way through.

Who this course is for
React Developers
MERN Stack Developers
JavaScript Developers
Node Developers

Homepage

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DSLR Filmmaking Masterclass: Learn to Shoot & Tell a Story

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DSLR Filmmaking Masterclass: Learn to Shoot & Tell a Story
Duration: 4h 47m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 5.51 GB
Genre: eLearning | Language: English

This Complete DSLR Filmmaking Guide will take filmmakers from beginner to pro. They don't teach you this in film school

What you'll learn
Learn to Operate a DSLR.
How to Capture Quality Sound.
How to Use lights.
How to Edit Video.
How to Film in Low Light.
How to Modify Lenses.
Learn to Film Indoors.
Learn to Film Outdoor.
Shoot Video in Low Light.
Edit on Final Cut X.
Colour Grade / Correct .
Choose a Camera and Microphone.
Learn Aperture, Shutter Speed and ISO.
Filmmaking Philosophy.

Requirements
Have the desire to want to learn filmmaking.
Pen and Paper.
Own ANY Camera (Preferably a DSLR).


Description
Join over 25,000 students learning from our courses!

Learn Filmmaking from Pre-Production to Post-Production:

In this course, you will learn to capture quality video with your standard DSLR. You will learn how to capture quality video, capture clear sound, how to set up lights and much more!

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What people are saying about our courses:

"By far, the best director and cinematography course on the Internet." - Nate Carroll

"I really enjoyed taking this class. It wasn't just that the subject was interesting to me, but the teacher also made the class intriguing. I would gladly recommend this class to anyone who would be interested." - Leah Ames

Very helpful. Adds depth to your understanding and intuitive insights which you surely had if you happened to play with video shooting and editing without doing any learning beforehand. It's enriching. The movie samples are great as the clarify the points. Love it! - Yosi Tsitsu

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TOPICS TO BE COVERED:

Storytelling

Choosing a Camera

Camera Set-up

Operating the Camera

Lenses

Sound Gear

Capturing Sound

Lighting 101

Cinematography 101

Exposure

Apertures

Shutter Speed

Cinematography Fundamentals

Top 10 Filmmaking Accessories

Filmmaking Philosophy

Editing (Final Cut X)

We will have several exercises for you to complete as well as at home training. You will also learn to fully function fully operate any DSLR. We have provided ways in which you can learn by doing. Filmmaking has never been so easy. This course has been developed for Beginner and Intermediate Filmmakers.

So what are you waiting for filmmakers? Whether you are fresh out of film school, a screenwriter who wants to create his/her own content or just someone who wants to make a feature film this course is for you.

They DON'T teach you this in Film School!

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What people are saying about our courses:

THIS COURSE IS AMAZING!!! I'm learning SO FREAKIN MUCH from it, and it's totally blowing my mind. Thanks so much to Gil and Alex for putting this course together. I'm a director working on my first horror film, which has a bit of action in it, and this course is totally giving me rocket boots. If you have more courses from Gil, please let me know and TAKE MY MONEY! - Colby R Rice

Excellent content. But you'd better pay attention or you will miss something. This course is packed with loads or useful and well explained stuff. - Mr Mick Farmer

Instructor is clearly in command of craft and engages with questions, simple explanations and familiar examples. Video and audio are excellent. - Bill Halford

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Join over 25,000 students that have already taken Indie Film Hustle filmmaking and screenwriting courses.

If you've got the dream.

If you've got the drive.

If you've got the passion - but you're missing the knowledge and experience...this course will get you on the path to get those images on screen and tell a story.

Enroll NOW! Let's get started!


Who this course is for:
Beginning Filmmakers.
Intermediate Filmmakers.
YouTubers.
Online Marketing.
Entrepreneur.
Film Students.
Wedding Videographers.
Commercial Videographers .

Homepage

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Complete Oracle JET Course for Beginners (Step-by-Step)

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Complete Oracle JET Course for Beginners (Step-by-Step)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 86 lectures (13h 17m) | Size: 7 GB

Build end-to-end web application using Oracle JET

What you'll learn:
By end of this course you will be able to develop a complete web application using Oracle JET by yourself
Use Oracle JET Components
Working in javascript and html pages
Add security to Oracle JET Application
Use Gitlab as a version control for Oracle JET
Develop end-to-end JET application including database and webservices
Create REST services in Java for Oracle JET
Deploy Oracle JET in Application Server like Glassfish and Weblogic
Debug Oracle JET Application
Visual Studio Code for developing JET application
Oracle JET Cookbook
Localization in Oracle JET

Requirements
You should have a basic knowledge of java and JavaScript


Description
This course will target a beginner developer who likes to learn Oracle JET to build a complete web application. This course will cover creating an end to end Oracle JET application including database, java web services and Oracle JET screens. In this course, we will develop a complete Oracle JET application together (step by step) and during this course, I will show you how you can secure your JET Application and I will give you an idea about data visualization (Graphs) and I will show you how you can deploy Oracle JET application. I will explain how you can use Gitlab as a version control for storing your JET application. In this course, we will use MySQL database so I will show you how to install MySQL database and start creating JET application with MySQL database. We will use JDeveloper to develop Java Web Services which should be called from Oracle JET Application to communicate with the database. In this course, you will be able to add security to the Oracle JET application by creating Login Screen and displaying some screens depending on user type. In the course, I will show you how you can implement Localization into the JET application and add multiple languages in the JET Application. By the end of this course, you should be able to develop a complete Oracle JET application by yourself.

Who this course is for
Anyone would like to be a developer and looking for a tool to develop web applications

Homepage

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TensorFlow Developer Certificate in 2021: Zero to Mastery

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TensorFlow Developer Certificate in 2021: Zero to Mastery
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 279 lectures (37h 24m) | Size: 19 GB

Pass the TensorFlow Developer Certification Exam by Google. Become an AI, Machine Learning, and Deep Learning expert!

What you'll learn:
Learn to pass Google's official TensorFlow Developer Certificate exam (and add it to your resume)
Build TensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing
Complete access to ALL interactive notebooks and ALL course slides as downloadable guides
Increase your skills in Machine Learning and Deep Learning, to test your abilities with the TensorFlow assessment exam
Understand how to integrate Machine Learning into tools and applications
Learn to build all types of Machine Learning Models using the latest TensorFlow 2
Build image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
Using real-world images in different shapes and sizes to visualize the journey of an image through convolutions to understand how a computer "sees" information, plot loss and accuracy
Applying Deep Learning for Time Series Forecasting
Gain the skills you need to become a TensorFlow Certified Developer
Be recognized as a top candidate for recruiters seeking TensorFlow developers

Requirements
Mac / Windows / Linux - all operating systems work with this course!
No previous TensorFlow knowledge required. Basic understanding of Machine Learning is helpful


Description
Just launched with all modern best practices for working with TensorFlow and passing the TensorFlow Developer Certificate exam! Join a live online community of over 500,000+ students and a course taught by a TensorFlow certified expert. This course will take you from absolute beginner with TensorFlow, to becoming part of Google's TensorFlow Certification Network.

TensorFlow experts earn up to $ 204,000 USD a year, with the average salary hovering around $ 148,000 USDaccording to 2021 statistics. By passing this certificate, which is officially recognized by Google, you will be joining the growing Machine Learning industry and becoming a top paid TensorFlow developer! If you pass the exam, you will also be part of Google's TensorFlow Developer Network where recruiters are able to find you.

The goal of this course is to teach you all the skills necessary for you to go and pass this exam and get your TensorFlow Certification from Google so you can display it on your resume, LinkedIn, Github and other social media platforms to truly make you stand out.

Here is a full course breakdown of everything we will teach (yes, it's very comprehensive, but don't be intimidated, as we will teach you everything from scratch!) :

This course will be very hands on and project based. You won't just be staring at us teach, but you will actually get to experiment, do exercises, and build machine learning models and projects to mimic real life scenarios. Most importantly, we will show you what the TensorFlow exam will look like for you. By the end of it all, you will develop skillsets needed to develop modern deep learning solutions that big tech companies encounter.

0 - TensorFlow Fundamentals

Introduction to tensors (creating tensors)

Getting information from tensors (tensor attributes)

Manipulating tensors (tensor operations)

Tensors and NumPy

Using @ tf.function (a way to speed up your regular Python functions)

Using GPUs with TensorFlow

1 - Neural Network Regression with TensorFlow

Build TensorFlow sequential models with multiple layers

Prepare data for use with a machine learning model

Learn the different components which make up a deep learning model (loss function, architecture, optimization function)

Learn how to diagnose a regression problem (predicting a number) and build a neural network for it

2 - Neural Network Classification with TensorFlow

Learn how to diagnose a classification problem (predicting whether something is one thing or another)

Build, compile & train machine learning classification models using TensorFlow

Build and train models for binary and multi-class classification

Plot modeling performance metrics against each other

Match input (training data shape) and output shapes (prediction data target)

3 - Computer Vision and Convolutional Neural Networks with TensorFlow

Build convolutional neural networks with Conv2D and pooling layers

Learn how to diagnose different kinds of computer vision problems

Learn to how to build computer vision neural networks

Learn how to use real-world images with your computer vision models

4 - Transfer Learning with TensorFlow Part 1: Feature Extraction

Learn how to use pre-trained models to extract features from your own data

Learn how to use TensorFlow Hub for pre-trained models

Learn how to use TensorBoard to compare the performance of several different models

5 - Transfer Learning with TensorFlow Part 2: Fine-tuning

Learn how to setup and run several machine learning experiments

Learn how to use data augmentation to increase the diversity of your training data

Learn how to fine-tune a pre-trained model to your own custom problem

Learn how to use Callbacks to add functionality to your model during training

6 - Transfer Learning with TensorFlow Part 3: Scaling Up (Food Vision mini)

Learn how to scale up an existing model

Learn to how evaluate your machine learning models by finding the most wrong predictions

Beat the original Food101 paper using only 10% of the data

7 - Milestone Project 1: Food Vision

Combine everything you've learned in the previous 6 notebooks to build Food Vision: a computer vision model able to classify 101 different kinds of foods. Our model well and truly beats the original Food101 paper.

8 - NLP Fundamentals in TensorFlow

Learn to:

Preprocess natural language text to be used with a neural network

Create word embeddings (numerical representations of text) with TensorFlow

Build neural networks capable of binary and multi-class classification using:

RNNs (recurrent neural networks)

LSTMs (long short-term memory cells)

GRUs (gated recurrent units)

CNNs

Learn how to evaluate your NLP models

9 - Milestone Project 2: SkimLit

Replicate a the model which powers the PubMed 200k paper to classify different sequences in PubMed medical abstracts (which can help researchers read through medical abstracts faster)

10 - Time Series fundamentals in TensorFlow

Learn how to diagnose a time series problem (building a model to make predictions based on data across time, eg predicting the stock price of AAPL tomorrow)

Prepare data for time series neural networks (features and labels)

Understanding and using different time series evaluation methods

MAE - mean absolute error

Build time series forecasting models with TensorFlow

RNNs (recurrent neural networks)

CNNs (convolutional neural networks)

11 - Milestone Project 3: (Surprise)

If you've read this far, you are probably interested in the course. This last project will be good .. we promise you, so see you inside the course;)

TensorFlow is growing in popularity and more and more job openings are appearing for this specialized knowledge. As a matter of fact, TensorFlow is outgrowing other popular ML tools like PyTorch in job market. Google, Airbnb, Uber, DeepMind, Intel, IBM, Twitter, and many others are currently powered by TensorFlow. There is a reason these big tech companies are using this technology and you will find out all about the power that TensorFlow gives developers.

We guarantee you this is the most comprehensive online course on passing the TensorFlow Developer Certificate to qualify you as a TensorFlow expert. So why wait? Make yourself stand out by becoming a Google Certified Developer and advance your career.

See you inside the course!

Who this course is for
Anyone who wants to pass the TensorFlow Developer exam so they can join Google's Certificate Network and display their certificate and badges on their resume, GitHub, and social media platforms including LinkedIn, making it easy to share their level of TensorFlow expertise with the world
Students, developers, and data scientists who want to demonstrate practical machine learning skills through the building and training of models using TensorFlow
Anyone looking to expand their knowledge when it comes to AI, Machine Learning and Deep Learning
Anyone looking to master building ML models with the latest version of TensorFlow

Homepage

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Machine Learning in Python Bootcamp with 5 Capstone Projects

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Machine Learning in Python Bootcamp with 5 Capstone Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 381 lectures (24 hour, 11 mins) | Size: 20.8 GB

Master Machine Learning Algorithms and Models in Python with hands-on Projects in Data Science. Code workbooks included.


What you'll learn

Theory and practical implementation of linear regression using sklearn
Theory and practical implementation of logistic regression using sklearn
Feature selection using RFECV
Data transformation with linear and logistic regression.
Evaluation metrics to analyze the performance of models
Industry relevance of linear and logistic regression
Mathematics behind KNN, SVM and Naive Bayes algorithms
Implementation of KNN, SVM and Naive Bayes using sklearn
Attribute selection methods- Gini Index and Entropy
Mathematics behind Decision trees and random forest
Boosting algorithms:- Adaboost, Gradient Boosting and XgBoost
Different Algorithms for Clustering
Different methods to deal with imbalanced data
Correlation Filtering
Variance Filtering
PCA & LDA
Content and Collaborative based filtering
Singular Value Decomposition
Different algorithms used for Time Series forecasting
Case studies

Requirements

To make sense out of this course, you should be well aware of linear algebra, calculus, statistics, probability and python programming language.


Description

Crazy about Data science and Machine learning?

This course is a perfect fit for you.

This course will take you step by step into the world of Machine learning.

Machine learning is the study of computer algorithms that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Machine learning is actively being used today, perhaps in many more places than one world expect.

It contains a lot of topics and this course will cover all step by step.

this course will give you theoretical as well as practical knowledge of machine learning.

This course is fun as well as exciting.

It will cover all common and important algorithms and will give you experience of working on some real world projects.

This course will cover the following topics:-

1. Theory and practical implementation of linear regression using sklearn.

2. Theory and practical implementation of logistic regression using sklearn.

3. Feature selection using RFECV.

4. Data transformation with linear and logistic regression.

5. Evaluation metrics to analyze the performance of models

6. Industry relevance of linear and logistic regression.

7. Mathematics behind KNN, SVM and Naive Bayes algorithms.

8. Implementation of KNN, SVM and Naive Bayes using sklearn.

9. Attribute selection methods- Gini Index and Entropy.

10. Mathematics behind Decision trees and random forest.

11. Boosting algorithms:- Adaboost, Gradient Boosting and XgBoost.

12. Different algorithms for clustering

13. Different methods to deal with imbalanced data.

14. Correlation filtering

15. Variance filtering

16. PCA & LDA

17. Content and Collaborative based filtering

18. Singular Value decomposition

19. Different algorithms used for Time Series forecasting.

20. Case studies

We have covered each and every topic in detail and also learned applying them to real world problems.

There are lots and lots of exercises for you to practice and also a 5 bonus capstone project "Employee Promotion Prediction", "Predicting Medical Health Expenses", "Determining Status for Loan Applicants" and "Optimizing Crop Production".

In this Employee Promotion Prediction project, you will learn how to Implement a Predictive Model for Identifying the Right Employees deserving Promotion. Also learn how to balance Imbalanced Datasets.

In this Predicting Medical Health Expenses project, you will learn how to Implement a Regression Analysis Predictive Model for Predicting the Future Medical Expenses for People using Linear Regression, Random Forest, Gradient Boosting, etc.

In this Determining Status for Loan Applicants project, you will learn how to Implement a Classification Analysis Predictive Model for Determining whether a Person should be Granted Loan or Not.

In this Optimizing Crop Production project, you will learn about Precision Farming using Data Science Technologies such as Clustering Analysis and Classification Analysis. You will be able to Recommend best Crops to Farmers to Increase their Productivity.

You will make use of all the topics read in this course.

You will also have access to all the resources used in this course.

Enroll now and become a master in machine learning.


Who this course is for:

Anyone who has already started their data science journey and now wanting to master machine learning.
This course is for machine learning beginners as well as intermediates.

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