• 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.


Englische Tutorials

Kendall SummerHawk - Money Breakthrough Method Certified Coach Training

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Kendall SummerHawk's - Money Breakthrough Method Certified Coach Training | 327.13 MB
Right now, there is unprecedented demand for you as a coach, consultant, trainer, therapist or practitioner to include money coaching in your business so you can confidently and easily help your new and current clients demystify how to break free of their glass money ceiling so they earn more, keep more and finally own their worth.

Is This You?
- You are a coach, consultant, author, speaker, therapist, practitioner, specialist or change agent who loves personal growth with a practical edge
- You want done-for-you, content you can use to attract new coaching clients now, whether youre already a coach or are starting a new coaching business
- You want to add a BRAND NEW, profitable, in-demand income stream to your business (one that clients are excited to hire you for)
- You want done-for-you content you can use to fill your programs, teleseminars, workshops, trainings and more
- You to create a name for yourself as a specialist in one of the fastest growing niches
- You LOVE saving time by getting a proven, step by step mini business in a box program that is done-for-you, easy to market and includes a ready-made toolkit full of money exercises, checklists, templates, visualization scripts, pre-written web copy, coaching forms, marketing training and more to help you grow and expand your business
- You are excited at the prospect of filling your workshops, courses and programs - both live and virtual - with ideal clients who are happy to pay for what you can teach them on this always-popular topic
- You are MORE than ready to resolve and heal your OWN money challenges of blame, shame, under-charging, guilt, debt and more - once and for all
- You hear how money is todays it factor to coach on and you dont want to be left out of deeply serving your clients on this powerful topic
- You want to grow your list quickly and easily, with ideal potential clients and love the idea of a marketing tool that will help you accomplish this goal

Homepage:

Link Download
Extract files with WinRar 5 or Latest !
 
Dart and Flutter From Zero to Hero - Practical Dev Bootcamp

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Dart and Flutter From Zero to Hero - Practical Dev Bootcamp
h264, yuv420p, 1280x720 | ENGLISH, aac, 48000 Hz, 2 channels, s16 | 28h 08 mn | 17.10 GB
Instructor: Filip Jerga

Build real mobile Application for Android and iOS. Learn Dart Framework and discover amazing features of Flutter.
What you'll learn

Learn and master Dart Programming Language
Completely understand the processes and concepts of Flutter Framework
Use gained knowledge to create your own Mobile Applications
Become fluent in concepts and tools like BLoC's, State Management, Services, Widgets and More!

Requirements

No Dart and Flutter previous knowledge is required!
Able to run Android Studio or Xcode Simulator

Description

What is Dart ?

An awesome programming language! Dart is a client-optimized object oriented programming language for fast apps on any platform.

What is Flutter ?

Flutter is Google's portable UI toolkit to build beautiful, natively-compiled applications for mobile, web and desktop from a single codebase. Flutter is written in Dart language.

What is this course about ?

We will start learning the very basic features of Dart programming language and programming concepts itself. I will explain the very base concepts of object oriented programming like variables, functions and classes. I will make sure you have all the required knowledge in order to start working with flutter framework. We will start in DartPad environment but will later transit to the home of our coding editors and we will work on a very nice console application.

After dart introduction, we will start learning Flutter Framework. I will explain the basics of flutter, what widgets are, why you need widgets and how they work. We will start with simple examples which will later grow into complex components of our application. I will introduce different architectural patterns on how to manage a state of our application. We will always follow best practices introduced by the Google Flutter team.

I chose a very practical approach of explaining concepts. We are going to create an application where users can join and create various meetups. The application is backed by my own API server with connected database.

Our application will consist of many screens and components. Therefore we will create an amazing navigation. I will explain on how to create forms, how to manage data of inputs and afterwards we will use the gained knowledge to create registration and login functionality.

Users will have access to all of the meetups and they will be able to see detailed information about each meetup. Detail view of a meetup will contain additional information about a meetup, joined people and created threads view. Not authorised users will have restricted access to a meetup which will change after an user will authenticate.

Authenticated users can join and leave meetups, view threads, create meetups and access joined people page. Authentication changes are handled in real time and a view is updated immediately.

The final feature we will be working on will be 'meetup create'. I will introduce you to new types of inputs and we will create some custom ones. After a meetup is created other people can join.
Who this course is for:

Total Beginners as well as experienced developers interested in Flutter and Dart.
This course is for everyone eager to understand how Dart and Flutter work
People eager to gain new knowledge

Homepage

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English Speaking Upgrade: Speak English Now for Beginners

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English Speaking Upgrade: Speak English Now for Beginners
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 5.91 GB
Genre: eLearning Video | Duration: 87 lectures (6 hours, 2 mins) | Language: English

Learn English for Beginners: English Speaking, English Grammar, English Pronunciation, English Listening



What you'll learn

Improve your English speaking;
Introduce yourself, a friend or a family member;
Identify and write numbers and letters of the Alphabet;
Ask for and tell addresses and phone numbers;
Fill out forms with the appropriate personal information;
Tell the date, days, months and time in English;
Gain more confidence in watching English movies without subtitles;
Make a reservation at a hotel;
Confidently order a meal at a restaurant;
Give and follow directions;
Ask for the prices of items at a department store

Requirements

Basic Reading Skills

Description

Do you have plans to travel abroad and you're nervous about speaking English to people?

Do you attend months of studying grammar but still struggle to complete a sentence?

Do you get frustrated in speaking English with correct sentences?


Worry no more!

Teacher Jet is here to guide you!


Welcome to the Complete English Course - Survival English- English Grammar

Beginner Level course!


This course is created for you who would travel to a country where English is the primary or secondary language and you would easily learn Survival English.


Survival English is about the essential English someone needs to know in order to survive - stay or work in an English-speaking country.

In this English course, you will be guided with these skills - Listening, Speaking, Reading and Writing.


After you finish this course, you will be able to:

1. Improve your English speaking;

2. Give personal information about yourself;

3. Introduce yourself, a friend or a family member;

4 Identify and write numbers and letters of the Alphabet;

5. Ask for and tell addresses and phone numbers;

6. Fill out forms with the appropriate personal information;

7. Tell the date, days, months and time in English;

8. Ask for and tell time;

9. Ask for and give prices of items;

10. Gain more confidence in watching English movies without subtitles;

11. Make a reservation at a hotel;

12. Confidently order a meal at a restaurant;

13. Give and follow directions;

14. Ask help at a department store


Format of this Course:

This course consists of 8 Sections. Each Section introduces you to different themes, day to day scenarios and includes the following:

Dialogue - This is a useful learning method to prepare you for real life needs of English communication.

Grammar - Learn simple grammar concepts. The concepts have some application with the theme of each section and flows with the rest of the lesson.

"Magic Word or Phrases" - fun lectures wherein you get to learn short phrases to deal with different scenarios.

Short Exercise - After every lecture, you will be given one or two questions to arouse your enthusiasm in studying. (They are super easy!)

Quiz - To check your understanding of the lesson, you will be given a quiz/quizzes after every section and you will get results after every item. (Relax!- Most questions are in multiple choice.)

Short Videos and Movie Clips - For you to feel more comfortable watching English movies without subtitles, here are short exercises to improve your listening and speaking skills.

I'm so excited to have you here!

Have fun!!


Teacher Jet

Who this course is for:

This course is designed for a students who are going to a trip to an English-speaking country for one of the following reasons:
- going on holiday
- attending a certain event (such as a wedding, anniversary, birthday, etc.)
- studying for a few weeks as language exchange students
- training at international offices
- taking part in a conference
- and others
Those who would like to learn Beginner English Grammar/ Basic English Grammar

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The Complete Autocad 2017 2D+3D Training

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The Complete Autocad 2017 2D+3D Training
$19.99 | Created by Mudessar Afraz | Last updated 4/2019
Duration: 9.5 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 6.2 GB
Genre: eLearning | Language: English + Sub | 127 lectures


What you'll learn

Make And Edit Your Drawing In Auto cad

Able to create plan Section And Elevation In Autocad

Able To Use Basic To Advance

How to Create 3D Objects

How To Edit 3D Objects

3D Commands

3D Complete Project

Requirements

Basic Knowledge of Computer

Description

Learn AutoCAD From Scratch
Starting with understanding the Interface of AutoCAD 2017 you will be amazed where you reach by the end of this course. With the wide applications of AutoCAD in Architecture and Civil And Mechanical fields, this is one software that you need to know to put down your engineering ideas on paper. Learn to draft 2D And 3D models.
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About Course
This course is AutoCAD 2017 Complete 2D+3D learning package which contains almost all of the topics that you will ever need to work with this software. The course is designed for a beginner as well as Advance Level users.
A beginner can start learning the software right from scratch by following the course along just from lecture one and Advance AutoCAD user will also find this course very comprehensive and they can choose the topics they want to learn about skipping the basics.
· comprehensive AutoCAD course online with 127 HD video lectures
· Taught By Well Trained Professional Instructor
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Who this course is for:

Any One Who Want to Learn Auto cad (2D+3D)

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Deep Learning for Natural Language Processing, 2nd Edition

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Deep Learning for Natural Language Processing, 2nd Edition
MP4 | Video: AVC 1280 x 720 | Audio: AAC 48 Khz 2ch | Duration: 04:59:14 | 10 GB
Genre: eLearning | Language: English
Sneak Peek


The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

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Artificial Intelligence Bootcamp in R Programming

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Artificial Intelligence Bootcamp in R Programming
h264, yuv420p, 1280x720 | ENGLISH, aac, 44100 Hz, 2 channels, s16 | 9h 58 mn | 6.43 GB
Instructor: Minerva Singh, SuperDataScience Team

Practical Neural Networks and Deep Learning in R
What you'll learn

How to build Artificial Neural Networks (ANN) in R
How to build Convolutional Neural Networks (CNN) in R
How to use H20 package in R to solve real world challenges
Read Data Into R Environment From Different Sources
Implement Pre-processing Tasks in R Environment

Requirements

Knowledge how to install packages on your PC
Basic understanding in Machine Learning Terms such as Unsupervised & Supervised Learning
Basic knowledge in Neural Networks

Description

YOUR COMPLETE GUIDE TO ARTIFICIAL NEURAL NETWORKS & DEEP LEARNING IN R:

This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science.

In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level!

LEARN FROM AN EXPERT DATA SCIENTIST:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic .

This course will give you a robust grounding in the main aspects of practical neural networks and deep learning.

Unlike other R instructors, I dig deep into the data science features of R and give you a one-of-a-kind grounding in data science...

You will go all the way from carrying out data reading & cleaning to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R.

Among other things:

You will be introduced to powerful R-based deep learning packages such as h2o and MXNET.

You will be introduced to deep neural networks (DNN), convolution neural networks (CNN) and unsupervised methods.

You will learn how to implement convolutional neural networks (CNN)s on imagery data using the Keras framework

You will learn to apply these frameworks to real life data including credit card fraud data, tumor data, images among others for classification and regression applications.

With this course, you'll have the keys to the entire R Neural Networks and Deep Learning Kingdom!
Who this course is for:

Data Scientist and Machine Learning enthusiasts who wants to add R Programming into their toolkit

Homepage

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The Complete Android 10 Developer Course - Mastering Android

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The Complete Android 10 Developer Course - Mastering Android
Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 13:24:32
Genre: eLearning | Language: English + Subtitles | Size: 5.75 GB

Learn Android App Development from Zero to Hero - Become a Real Android Developer - Start your coding career
What you'll learn
Android App Development
Building real apps

Requirements
No requirements

Description

So you want to become an Android Developer & start publishing your apps?
You like to stay home & learn from your own computer?
You don't like to attend class?
You need to learn about latest technology & app development?
You have brilliant ideas & you need to develop them by creating your own apps by your hand?
My name's Abbass Masri, creator of the world's best-selling Android Teaching app called: "Master Android App" . and I've designed The Complete Android 10 Developer Course, especially for YOU.
Buy this course today and this is what you'll get:
You'll learn android app development from zero.
You'll get the source codes of all projects.
You'll create about 10 apps by the end of the course.
Don't Think Twice!!
Start your coding career now, by buying our course.
I promise You ... As i helped 800,000 students to learn android, I will help you to become another pro..
Just buy it now, don't waste time!
Requirements:
PC
Java JDK (We will Download & Install it through the course)
Android Studio ( We will Download & install it through the course)
Programs we will use:
Android Studio ( Installation Process included in the course)

Who this course is for:
Everyone who loved android
Every developer despite his level

Homepage

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Coding to analyze and visualize data: a class of examples​

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Coding to analyze and visualize data: a class of examples​
h264, yuv420p, 1280x720 | ENGLISH, aac, 48000 Hz, 2 channels, s16 | 31h 08 mn | 23.81 GB
Instructor: Mammoth Interactive, John Bura

Learn the Python programming language, pandas & Matplotlib! Data Analysis & Visualization for all. No experience needed!
What you'll learn

Read, write, and analyze data with pandas
Create line, scatter, candlestick, and 3D plots in Matplotlib
Learn to code in Python from scratch
Visualize data with histograms, pie charts, and box and whisker plots
And much more!

Requirements

Anaconda, which includes Python, pandas, and Matplolib
Topics involve intermediate math, so familiarity with university-level math is very helpful.

Description

Anyone - even if you have no programming experience - can learn to code in Python with Mammoth Interactive. Learn to analyze and visualize data with bars, diagrams, and graphs.

This course was funded by a wildly successful Kickstarter

This course is fun, project-filled, and practical.

If you want to do any of the following...

Visualize data with histograms, pie charts, and box and whisker plots.
Code in the Python 3.5 programming language.
Make games with Python.
Create and manipulate dataframes with pandas.
Read and write data from and to CSV.
Recognize analytical approaches to data, including: analyzing data, locating, making statistical descriptions and plots of data.
Create basic line and scatter plots with Matplotlib 1.5.
Read finance data from Yahoo.
Customise graphs with visuals, a title, labels, text and a legend.
Understand figures and subplots.
Understand basic 3D plotting.

You should take this course!
Who this course is for:

Absolute beginners who want to learn to code in the popular Python programming language.
Beginners who want to learn how to use data science to make graphs.
Intermediates who want to expand their skillset by learning pandas and Matplotlib
Intermediates who want a refresher on the fundamentals

Homepage

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Python Data Model: Magic Methods in Python Classes

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Python Data Model: Magic Methods in Python Classes
h264, yuv420p, 1280x720 | ENGLISH, aac, 48000 Hz, 2 channels, s16 | 12h 44 mn | 14.76 GB
Instructor: ITPro TV, Justin Dennison

Magic Methods in Python Classes
What you'll learn

Use the double underscore or "magic" methods to shape the behavior of custom classes.
Overload operators in Python.
Create custom iterables using classes.
Create custom context manager classes.

Requirements

Familiarity with classes and object-oriented programming.
Python programming experience.

Description

Python Data Model

Python has a set of protocols that the language internally adhere to which provides the functionality for features such as iteration, context manager behavior, string representation of an object, and many other things. When you create custom classes in Python and make use of these protocols then you can create custom behavior in the context of iterations, types, comparison of objects, operator overloading, and much more. Knowing about these will help level up your Python skills. If you are ready to progress forward in your Python prowess, then join us to learn more about the Python data model.

Course Format

• Binge-worthy TV shows! Watch comprehensive, in-depth episodes that use a talk show-like format to keep you engaged while learning.

• You can pick and choose episodes or you can watch as a complete series.

• A little humor, anecdotes, and real-world examples.

Other Courses

Ready to a DevPro? Get more DevProTV training with a variety of topics. Join Justin and DevProTV to level up your programming prowess!

Updates and Versions

The programming world updates at a break neck pace. As a result, there are times that certain tools, editors, libraries have changed. While syntax or names may change, the foundations remain the same. Though we hope to keep things updated, there may be time before that can occur. I recommend seeing if you can translate between changes and if all fails, ask questions!
Who this course is for:

Intermediate Python programmers looking to develop more of an understanding of Python's "magic" methods.
Beginner Python programmers looking to level up their game.

Homepage

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The Complete Machine Learning 2020|Python, Math|Dummy To Pro

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The Complete Machine Learning 2020|Python, Math|Dummy To Pro
h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2 channels, s16 | 24h 53 mn | 8.62 GB
Instructor: SkyHub Academy

Start Machine Learning & Data Science era with Python ,Math & Libraries like: SKlearn , Pandas , NumPy, Matplotlib & Gym
What you'll learn

Achieve the mastery in machine learning from simple linear regression to advanced reinforcement learning projects.
Get a deeper intuition about different Machine Learning nomenclatures.
Be able to manipulate different algorithms with the power of Mathematics.
Write different kinds of algorithms from scratch with Python.
Be able to preprocess any kind of Datasets.
Solve and Deal with different real-life and businesses problems from the outside world.
Deal with different machine learning and data science libraries like: Sikit-Learn, Pandas , NumPy & Matplotlib.
Explore the Data science world by handling, prepossessing and visualizing any kind of data set .
Make designs with advanced ML algorithms like the Reinforcement Leaning and handle different projects with the Gym library .

Requirements

Just the passion to learn within your heart and leave the rest for us!

Description

Humans learn from past experience, so why not machine learn as well?

Hello there,

If the word 'Machine Learning' baffles your mind and you want to master it, then this Machine Learning course is for you.

If you want to start your career in Machine Learning and make money from it, then this Machine Learning course is for you.

If you want to learn how to manipulate things by learning the Math beforehand and then write a code with python, then this Machine Learning course is for you.

If you get bored of the word 'this Machine Learning course is for you', then this Machine Learning course is for you.

Well, machine learning is becoming a widely-used word on everybody's tongue, and this is reasonable as data is everywhere, and it needs something to get use of it and unleash its hidden secrets, and since humans' mental skills cannot withstand that amount of data, it comes the need to learn machines to do that for us.

So we introduce to you the complete ML course that you need in order to get your hand on Machine Learning and Data Science, and you'll not have to go to other resources, as this ML course collects most of the knowledge that you'll need in your journey.

We believe that the brain loves to keep the information that it finds funny and applicable, and that's what we're doing here in SkyHub Academy, we give you years of experience from our instructors that have been gathered in just one an interesting dose.

Our course is structured as follows:

An intuition of the algorithm and its applications.

The mathematics that lies under the hood.

Coding with python from scratch.

Assignments to get your hand dirty with machine learning.

Learn more about different Python Data science libraries like Pandas, NumPy & Matplotlib.

Learn more about different Python Machine learning libraries like SK-Learn & Gym.

The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers. We'll cover the following:

Simple Linear Regression

Multiple Linear Regression

Polynomial Regression

Lasso Regression

Ridge Regression

Logistic Regression

K-Nearest Neighbors (K-NN)

Support Vector Machines (SVM)

Kernel SVM

Naive Bayes

Decision Tree Classification

Random Forest Classification

Evaluating Models' Performance

Hierarchical Clustering

K-Means Clustering

Principle Component Analysis (PCA)

Pandas (Python Library for Handling Data)

Matplotlib (Python Library for Visualizing Data)

Note: this course is continuously updated ! So new algorithms and assignments are added in order to cope with the different problems from the outside world and to give you a huge arsenal of algorithms to deal with. Without any other expenses.

And as a bonus, this course includes Python code templates which you can download and use on your own projects.
Who this course is for:

Newbies to Machine Learning.
Any one who wants to boost his skills in Data Science and Machine Learning with Mathematics.
Any people who are not satisfied with their job and who want to become a Data Scientist.

Homepage

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Data Science and Machine Learning using Python - A Bootcamp

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Data Science and Machine Learning using Python - A Bootcamp
h264, yuv420p, 1280x720 | ENGLISH, aac, 48000 Hz, 2 channels, s16 | 24h 57 mn | 12.11 GB
Instructor: Dr. Junaid Qazi, PhD

Numpy Pandas Matplotlib Seaborn Ploty Machine Learning Scikit-Learn Data Science Recommender system NLP Theory Hands-on
What you'll learn

Python to analyze data, create state of the art visualization and use of machine learning algorithms to facilitate decision making.
Python for Data Science and Machine Learning
NumPy for Numerical Data
Pandas for Data Analysis
Plotting with Matplotlib
Statistical Plots with Seaborn
Interactive dynamic visualizations of data using Plotly
SciKit-Learn for Machine Learning
K-Mean Clustering, Logistic Regression, Linear Regression
Random Forest and Decision Trees
Principal Component Analysis (PCA)
Support Vector Machines
Recommender Systems
Natural Language Processing and Spam Filters
and much more...................!

Requirements

A PC and passion to be successful!
Some experience in programming could be helpful but not required!

Description

Greetings,

I am so excited to learn that you have started your path to becoming a Data Scientist with my course. Data Scientist is in-demand and most satisfying career, where you will solve the most interesting problems and challenges in the world. Not only, you will earn average salary of over $100,000 p.a., you will also see the impact of your work around your, is not is amazing?

This is one of the most comprehensive course on any e-learning platform (including Udemy marketplace) which uses the power of Python to learn exploratory data analysis and machine learning algorithms. You will learn the skills to dive deep into the data and present solid conclusions for decision making.

Data Science Bootcamps are costly, in thousands of dollars. However, this course is only a fraction of the cost of any such Bootcamp and includes HD lectures along with detailed code notebooks for every lecture. The course also includes practice exercises on real data for each topic you cover, because the goal is "Learn by Doing"!

For your satisfaction, I would like to mention few topics that we will be learning in this course:

Basis Python programming for Data Science

Data Types, Comparisons Operators, if, else, elif statement, Loops, List Comprehension, Functions, Lambda Expression, Map and Filter

NumPy

Arrays, built-in methods, array methods and attributes, Indexing, slicing, broadcasting & boolean masking, Arithmetic Operations & Universal Functions

Pandas

Pandas Data Structures - Series, DataFrame, Hierarchical Indexing, Handling Missing Data, Data Wrangling - Combining, merging, joining, Groupby, Other Useful Methods and Operations, Pandas Built-in Data Visualization

Matplotlib

Basic Plotting & Object Oriented Approach

Seaborn

Distribution & Categorical Plots, Axis Grids, Matrix Plots, Regression Plots, Controlling Figure Aesthetics

Plotly and Cufflinks

Interactive & Geographical plotting

SciKit-Learn (one of the world's best machine learning Python library) including:

Liner Regression

Over fitting , Under fitting Bias Variance Trade-off, saving and loading your trained Machine Learning Models

Logistic Regression

Confusion Matrix, True Negatives/Positives, False Negatives/Positives, Accuracy, Misclassification Rate / Error Rate, Specificity, Precision

K Nearest Neighbour (KNN)

Curse of Dimensionality, Model Performance

Decision Trees

Tree Depth, Splitting at Nodes, Entropy, Information Gain

Random Forests

Bootstrap, Bagging (Bootstrap Aggregation)

K Mean Clustering

Elbow Method

Principle Component Analysis (PCA)

Support Vector Machine

Recommender Systems

Natural Language Processing (NLP)

Tokenization, Text Normalization, Vectorization, Bag-of-Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), Pipeline feature........and MUCH MORE..........!

Not only the hands-on practice using tens of real data project, theory lectures are also provided to make you understand the working principle behind the Machine Learning models.

So, what are you waiting for, this is your opportunity to learn the real Data Science with a fraction of the cost of any of your undergraduate course.....!

Brief overview of Data around us:

According to IBM, we create 2.5 Quintillion bytes of data daily and 90% of the existing data in the world today, has been created in the last two years alone. Social media, transactions records, cell phones, GPS, emails, research, medical records and much more.., the data comes from everywhere which has created a big talent gap and the industry, across the globe, is experiencing shortage of experts who can answer and resolve the challenges associated with the data. Professionals are needed in the field of Data Science who are capable of handling and presenting the insights of the data to facilitate decision making. This is the time to get into this field with the knowledge and in-depth skills of data analysis and presentation.

Have Fun and Good Luck!
Who this course is for:

For you, if you:
want to learn Data Science with Python
want to learn Machine Learning with Python
are tired of complicated courses and "Learn by Doing"

Homepage

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Analytic Trigonometry - Your Complete Guide

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Analytic Trigonometry - Your Complete Guide
h264, yuv420p, 1280x720 | ENGLISH, aac, 48000 Hz, 2 channels, s16 | 9h 43 mn | 7.87 GB
Instructor: Brian McLogan, Shalom Love B Tablando

From simplifying to verifying to solving to the Law of Sines and Cosines you will learn all step by step
What you'll learn

Simplify, Verify, and Solve Trigonometric Equations
Evaluate and solve equations using the double angle formulas
Evaluate the verify identities using the half angle formulas
Evaluate and solve equations using the sum and difference formulas
Determine the missing parts of a triangle using Law of Sines and Law of Cosines
Apply operations, write and determine vectors
Over 200 worked out examples explained step by step
Over 10 quizzes to check your understanding
Over 30 worksheets to practice what you are learning

Requirements

Basic Arithmetic Skills
Basic Algebra Skills

Description

Learning about analytic trigonometry can be tough. Once you feel you mastered one type of problem you get stumped on the next. This course is structured to not leave you behind in the dust. I start off each section with basic definitions and processes you will need to know moving through the course. I then present two types of videos to you for each skill. First is the overview video where I explain the concept as a whole like a typical lecture in a classroom. I then work through multiple examples showing you step by step how to complete different types of problems. We both know watching someone do math is not the best way to learn. You have to practice! Each section you are provided with multiple worksheets to practice your skills as well as the answer to check your answers. Revert back to videos if you get stuck and forget how to solve the problems. Once you feel you have a good grasp of your understanding it is time to take your quiz. There are multiple quizzes provided for each section. Take the quizzes as many times as you need to earn 100%. There is no pressure you are hear to learn. By taking this course you will not only gain a better understanding of analytic trigonometry but you will gain confidence to solve more problems on your own. That is why I created this course. I want students to no longer fear learning math or walking into their math class because they just don't understand. Everyone can learn math. Some it just takes a little longer, some just need a little boast and some need a course like I designed to guide them through the material. Heck once you complete this course, show your teacher! You deserve and A. I am here for you and by joining this course you are now one of my students just as important to me as the 140 students I teach in the classroom during the school year. So please keep in touch, let me know how I am doing and if there is anything extra I can provide to assist you with your learning of analytic trigonometry.

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Who this course is for:

Students taking Pre-Calculus
Students taking Trigonometry
Students taking Calculus
Screenshots
Analytic Trigonometry - Your Complete Guide

Homepage

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