• 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

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  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.

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VenneTV


Englische Tutorials

The Complete Beginners Guide to The Arduino

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The Complete Beginners Guide to The Arduino
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 13.2 GB
Genre: eLearning Video | Duration: 51 lectures (15 hour, 41 mins) | Language: English

The complete Arduino course, from complete beginner to competent maker created by a best-selling Arduino book author



What you'll learn

How to write code for the Arduino
How to easily understand the Arduino language
All of the necessary concepts to code proficiently
How to use and write code to read data from sensors
Essential electronics concepts for hobbyists
How to build electronic circuits on a breadboard
How to bring your interactive creations to life
The necessary skills and knowledge to design and build your own Arduino projects from scratch
How to combine two Arduino sketches into one

Requirements

A laptop or PC
An Arduino Nano (or Uno if you prefer) plus charging/programming USB cable
A breadboard, jumper wires and basic electronic components such as buttons, LEDs, sensors and so on. e.g. an Arduino Starter Kit
A willingness to learn
A desire to become a proficient Arduino developer and maker
A basic Arduino Starter Kit


Description

This course, by best-selling Arduino author, Mike McRoberts, will take you from complete beginner to confident and competent coder and electronics circuit builder. Even if you have NEVER coded before or built a circuit, you will be guided through each carefully crafted lesson until you have the skills and knowledge to go it alone and bring your very own creations to life.


Who this course is for:

Complete Beginners
Beginners at coding
Beginners at electronics
People who want to build and program cool creations
People who have struggled with other tutorials or courses
Beginner Arduino developers
People that are looking for a course that is clear and concise and not full of 'filler' material.

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TTC - Tai Chi for Aging with Strength and Tranquility

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TTC - Tai Chi for Aging with Strength and Tranquility
h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2channels | 7h 47mn | 6.67 GB

Practiced in the East for centuries, the flowing movements of tai chi have been known to promote health and inner harmony. According to Chinese medicine, the benefits of this ancient martial art come from unblocking and encouraging the proper flow of chi, the energy force that flows throughout the body. Western medicine hasn't typically addressed the body's "energy forces," but that might be about to change. According to the 2019 Harvard University Women's Health Watch, "tai chi is often described as meditation in motion, but it might well be called medication in motion," thanks to its uses in prevention and treatment of health issues.

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Selenium Webdriver with Java by Bhanu Pratap

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Selenium Webdriver with Java by Bhanu Pratap
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 163 lectures (35h 57m) | Size: 22.3 GB

Basics + Advance + Architect+TestNG+Jenkin+Github+Framework

What you'll learn:
Once you finish this course with honesty you would be master in automation and you can crack any interview

Requirements
Knowledge of Core Java and Eclipse Editor


Description
Selenium WebDriver Training - Expert Level

This course will have all topics of selenium Webdriver and supported third party tool

Once you finish this Course, it will enable you to design framework and automation scripts.

This Course will have Selenium Webdriver with TestNG framework, Selenium Framework, Jenkin Installation, configuration and Github Repository.

Course Highlights

TestNG framework
Selenium Locators Writting
Selenium Basic and Advance Scripting
Selenium Reporting
Selenium API
Log4J
Excel Tutorial
Properties File Tutorial
Hybride Framework
Page Object Model Design
Data Driven Framework
Cucumber framework
Maven Tutorial
Github Tutoril
Jenkin Installation and configuration
Interview Question and Answers

Who this course is for
This course is good for a candidate who is looking a job in software automation area or whoever is planning to move in automation

Homepage

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Master Linear Algebra for Data Science & Machine Learning DL

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Master Linear Algebra for Data Science & Machine Learning DL
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 121 lectures (13h 5m) | Size: 6 GB

Solve hands-on & code in python for mastering linear algebra behind data science, machine learning & Deep Learning

What you'll learn:
Build Mathematical intuition required for Data Science and Machine Learning
The linear algebra intuition required to become a Data Scientist
How to take their Data Science career to the next level
Hacks, tips & tricks for their Data Science career
Implement Machine Learning Algorithms better
Apply Linear Algebra in Data Analysis
Learn core concept to Implement in Machine Learning

Requirements
Pen and a paper to workout maths problem
Computer with Python to execute the code
Some programming experience


Description
Interested in increasing your Machine Learning, Deep Learning expertise by effectively applying the mathematical skills?

Then, this course is for you.

With the growing learners of Machine Learning, Data Science, and Deep Learning.

The Common mistake by a data scientist is→ Applying the tools without the intuition of how it works and behaves.

Having the solid foundation of mathematics will help you to understand how each algorithm work, its limitations and its underlying assumptions.

With this, you will have an edge over your peers and makes you more confident in all the applications of Machine Learning, Data Science, and Deep Learning.

As a common saying:

It always pays to know the machinery under the hood, rather than being a guy who is just behind the wheel with no knowledge about the car.

Linear Algebra is one of the areas where everyone agrees to be a starting point in the learning curve of Machine Learning, Data Science, and Deep Learning.. Its basic elements - Vectors and Matrices are where we store our data for input as well as output.

Any operation or Processing involving storing and processing the huge number of data in Machine Learning, Data Science, and Artificial intelligence, would mostly use Linear Algebra in the backend.

Even Deep Learning and Neural Networks - Employs the Matrices to store the inputs like image, text etc. to give the state of the art solution to complex problems.

Keeping in mind the significance of Linear Algebra in a Data Science career, we have tailor-made this curriculum such that you will be able to build a strong intuition on the concepts in Linear Algebra without being lost inside the complex mathematics.

At the end of this course, you will also learn, how the Famous Google PageRank Algorithm works, using the concepts of Linear Algebra which we will be learning in this course.

In this course. you will not only learn analytically, but you will also see its working by running in Python as well.

So, with this course, you will learn, build intuition, and apply to some of the interesting real-world applications.

Click on the Enroll Button to start Learning.

I look forward to seeing you in Lecture 1

Who this course is for
Data Scientists who wish to improve their career in Data Science.
Machine Learning Practitioners
Any one who wants to understand the underpinnings of Maths in Data Science, Machine Learning and Artificial intelligence
Any Data Science enthusiast
Any student or professional who wants to start or transition to a career in Data Science.
Students who want to refresh and learn important maths concepts required for Machine Learning , Deep Learning & Data Science.
Any data analysts who want to level up in Machine Learning.
Any people who are not satisfied with their job and who want to become a Data Scientist.

Homepage

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TTC - Introduction to Machine Learning

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TTC - Introduction to Machine Learning
h264, yuv420p, 1280x720 | ENGLISH, 44100 Hz, 2channels | 12h 04mn | 10.1 GB

We live on a planet with billions of people-but also billions of computers, many of them programmed to evaluate and make decisions much as humans do. We don't yet reside among truly intelligent machines, but they are getting there, and knowing how machines learn is crucial for everyone from professionals to students to ordinary citizens. Machine learning pervades our culture in a multitude of ways, through tools and practices from medical diagnosis and data management to speech synthesis and search engines.

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TTC - Chemistry, 2nd Edition

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TTC - Chemistry, 2nd Edition
h264, yuv420p, 1280x720 | ENGLISH, 44100 Hz, 2channels | 18h 00mn | 15.35 GB

Many students struggle in high school chemistry. Even if they succeed in earning a good grade, they often still feel confused and unconfident. Why is this? And what can be done to help every student succeed in this vitally important course? Success in chemistry, according to veteran science teacher Professor Frank Cardulla, doesn't require any special intellectual gifts or talents or advanced mathematical skill. All it requires is a genuine understanding of the ideas that students encounter in the high school chemistry classroom. If students truly understand what they are learning, they will do more than just succeed in high school chemistry; they will find lasting success as they continue to study chemistry in college and beyond.

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Algorithmic Trading A-Z with Python and Machine Learning

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Algorithmic Trading A-Z with Python and Machine Learning
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 29h 16m | 10.07 GB
Instructor: Alexander Hagmann

Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.



What you'll learn

Build automated Trading Bots with Python.
Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning.
Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with play money.
Truly Data-driven Trading and Investing.
Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it.
Coding with Numpy, Pandas, Matplotlib and scikit-learn.
Understand Day Trading A-Z: Spread, Pips, Margin, Leverage, Bid and Ask Price, Order Types, Charts & more.
Day Trading with Brokers OANDA & FXCM.
Stream high-frequency real-time Data.
Understand, analyze, control and limit Trading Costs.
Use powerful Broker APIs and connect with Python.

Requirements

A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
An internet connection capable of streaming HD videos.
You should have worked with Python before (recommended but not required). This course provides a Python Crash Course.
Some high school level math skills would be great (not mandatory, but it helps)
In some countries (Japan, Russian Federation, South Korea, Turkey) CFD/FOREX Trading is not permitted and residents cannot create an account on OANDA or FXCM (Online Brokers). Please keep in mind that approx. 20% of the Course (Trading and Implementation) won´t work for you! Thanks a lot for your understanding!


Description

Welcome to the most comprehensive Algorithmic Trading Course. It´s the first 100% Data-driven Trading Course!

In this rigorous but yet practical Course, we will leave nothing to chance, hope, vagueness, or hocus-pocus!

Did you know that 75% of retail Traders lose money with Day Trading? (some sources say >95%)

For me as a Data Scientist and experienced Finance Professional this is not a surprise. Day Traders typically don not know/follow the five fundamental rules of (Day) Trading. This Course covers them all in detail!

1. Know and understand the Day Trading Business

Don´t start Trading if you are not familiar with terms like Bid-Ask Spread, Pips, Leverage, Margin Requirement, Half-Spread Costs, etc.

Part 1 of this course is all about Day Trading A-Z with the Brokers Oanda and FXCM. It deeply explains the mechanics, terms, and rules of Day Trading (covering Forex, Stocks, Indices, Commodities, Baskets, and more).

2. Use powerful and unique Trading Strategies

You need to have a Trading Strategy. Intuition or gut feeling is not a successful strategy in the long run (at least in 99.9% of all cases). Relying on simple Technical Rules doesn´t work either because everyone uses them.

You will learn how to develop more complex and unique Trading Strategies with Python. We will combine simple and also more complex Technical Indicators and we will also create Machine Learning-powered Strategies. The course covers all required coding skills (Python, Numpy, Pandas, Matplotlib, scikit-learn) from scratch in a very practical manner.

3. Test your Strategies before you invest real money (Backtesting / Forward Testing)

Is your Trading Strategy profitable? You should rigorously test your strategy before 'going live'.

This course is the most comprehensive and most rigorous Backtesting / Forward Testing course that you can find.

You will learn how to apply Vectorized Backtesting techniques, Iterative Backtesting techniques (event-driven), live Testing with play money, and more. And I will explain the difference between Backtesting and Forward Testing and show you what to use when. The backtesting techniques and frameworks covered in the course can be applied to long-term investment strategies as well!

4. Take into account Trading Costs - it´s all about Trading Costs!

"Trading with zero commissions? Great!" . Well, there is still the Bid-Ask-Spread and even if 2 Pips seem to be very low, it isn´t!

The course demonstrates that finding profitable Trading Strategies before Trading Costs is simple. It´s way more challenging to find profitable Strategies after Trading Costs! Learn how to include Trading Costs into your Strategy and into Strategy Backtesting / Forward Testing. And most important: Learn how you can control and reduce Trading Costs.

5. Automate your Trades

Manual Trading is error-prone, time-consuming, and leaves room for emotional decision-making.

This course teaches how to implement and automate your Trading Strategies with Python and powerful Broker APIs. Create your own Trading Bot!

Finally. this more than just a course on automated Day Trading:

the techniques and frameworks covered can be applied to long-term investing as well.
it´s an in-depth Python Course that goes beyond what you can typically see in other courses. Create Software with Python and run it in real-time!
we will feed Machine Learning Algorithms with real-time data and take ML-based actions in real-time!

+++ IMPORTANT NOTICE +++

In some countries (Japan, Russian Federation, South Korea, Turkey) CFD/FOREX Trading is not permitted and residents cannot create an account on OANDA or FXCM (Online Brokers). For the heart of this course (Coding, Creating Strategies, Backtesting & Forward Testing Strategies) you don´t need a Broker account. Therefore, this course is a great choice even without a Broker account. But please keep in mind that some parts (Trading and Implementation) won´t work for you! Thanks a lot for your understanding!


Who this course is for:

(Day) Traders and Investors who want to professionalize and automate their Business.
(Day) Traders and Investors tired of relying on simple strategies, chance and hope.
Finance & Investment Professionals who want to step into Data-driven and AI-driven Finance.
Data Scientists and Machine Learning Professionals.

More Info

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SQL-MySQL: 2021 Complete Master Bootcamp | Beginner-Expert

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SQL-MySQL: 2021 Complete Master Bootcamp | Beginner-Expert
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | Size: 7.16 GB | Duration: 18h 4m



What you'll learn
Create complex databases, build real-world report & write advanced SQL queries
Use Python to create databases, tables and work with queries
Write complex queries using TRANSACTION, VIEW, STORE PROCEDURE, FUNCTIONS, TRIGGERS, SESSION, TABLE LOCKING and many more
Write complex queries to retrieve information from single and across multiple tables by using Nested & Correlated Subqueries
Write complex queries to retrieve data across multiple tables by using Left, Right, Inner and Full Outer joins queries
Learn by doing tons of real-world SQL projects, challenges & assignment with solutions
Learn to use complex sorting, filtering, extracting and aggregating queries to analyse data
Pass your next BI, Data Analysts and Data Science Interviews and Vivas
This SQL MySQL tutorial cover SQL Foundations, SQL beginners, SQL intermediate and SQL expert levels training
Join and retrieve data from One, Two, Three, Four, Five, Six, Seven, Eight, Nine and Ten tables

Requirements
No programming experience is needed - I'll teach you everything you need to know
No paid software required - everything will be done with MySQL Workbench (which is free)
A Mac laptop/iMac or a Windows PC
I'll walk you through, step-by-step on how to get MySQL Workbence installed and set up
This SQL MySQL tutorial will move you from zero to hero
I'll walk you through on how to get MySQL Connector to run with Python

Description
WHO IS THIS COURSE FOR?

For Beginner, Intermediate & Expert Level (such as SQL fundamentals, SQL essential, intermediary SQL & advanced SQL).

This course is for you if you are tired of SQL courses that are too brief, too simple, or too complicated.

This course is for you if you want to build a real-world database, reports, projects with SQL & connect to Python.

This course if for you if you want to master the in-and-out of SQL queries including complex and advanced queries

This course is for you if you want to learn MySQL by doing exciting real-life challenges that will distinguish you from the crowd.

This MySQL tutorial course is for you if you plan to pass SQL Interview for Data, Business, and Financial Analytics, Data Science, Data Modeller, & Database administration

If you want to learn Advanced SQL for Business Analysis, Marketing, and Data Management

This course is for you if you've just discovered without SQL you can't do much with data analytic, data science, machine learning, AI, or becoming a better developer.

If you want to master SQL which you can also use for Oracle SQL, Microsoft SQL Server, SQL Lite and PostgreSQL.


Who this course is for:
All Levels - Beginners, Intermediate & Experts


Homepage

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Salesforce Development Bootcamp

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Salesforce Development Bootcamp
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 218 lectures (25h 13m) | Size: 7.97 GB

Salesforce full stack development with Apex and Lightning. The only course you need to become a Salesforce Dev.

What you'll learn:
Salesforce Full-Stack Development
Apex Development
Lightning Component Development
Async Apex
Helpful for Salesforce Platform Developer 1
Helpful for Salesforce Platform Developer 2

Requirements
Love for technnology
Zeal to learn
Ambition to become the best


Description
A course designed for all who aspire to become a Salesforce Developer.

If you are new to the programming world and doesn't speak technology, take this course. If you are someone experienced and looking to skill up, take this course. If you are a student or a recent graduate or a Salesforce admin or an IT professional, take this course. This is:

"ONE COURSE TO RULE THEM ALL"

The course is designed for all experience levels and covers Apex Development from basics (and I really mean it) with Lightning front-end development. The course is filled with many challenges and real-time projects to help you build that muscle memory and make you a proficient Salesforce Developer.

It's impossible to highlight all offering of this course here, but below are some major modules:

Web Application Architecture

Programming Fundamentals

Apex Development

Apex Triggers

Async Apex

Apex Testing

Salesforce Lightning Development with Aura

SOQL - Salesforce Object Query Language

Database Manipulation

Object-Oriented Programming System

The course is brought to you by SFDCFacts Academy which is known for its quality content on the Salesforce platform. We have other courses published on Udemy, all of them are "Bestseller" and "Highest Rated" in their individual category.

Who this course is for
All who want to learn Salesforce Development
Salesforce Admins
Engineering Freshers
Graduate Students
Salesforce Developers
Salesforce Platform Developer 1 Certification Aspirant
Salesforce Platform Developer 2 Certification Aspirant

Homepage

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Professional Certificate in Data Science

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Professional Certificate in Data Science
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 11.8 GB | Duration: 26h 20m



What you'll learn
Python Programming Basics For Data Science
Machine Learning - [A -Z] Comprehensive Training with Step by step guidance
Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)
Unsupervised Learning - Clustering, K-Means clustering
Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it.
Algorithm Analysis For Data Scientists
KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step
Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]
Deep Convolutional Generative Adversarial Networks (DCGAN)
Java Programming For Data Scientists
Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia
Developing a CNN From Scratch for CIFAR-10 Photo Classification

Requirements
Computer & Internet Connection

Description
At the end of the Course you will have all the skills to become a Data Science Professional. (The most comprehensive Data Science course )

1) Python Programming Basics For Data Science - Python programming plays an important role in the field of Data Science

2) Introduction to Machine Learning - [A -Z] Comprehensive Training with Step by step guidance

3) Setting up the Environment for Machine Learning - Step by step guidance

4) Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)

5) Unsupervised Learning

6) Evaluating the Machine Learning Algorithms

7) Data Pre-processing

8) Algorithm Analysis For Data Scientists

9) Deep Convolutional Generative Adversarial Networks (DCGAN)

10) Java Programming For Data Scientists

Course Learning Outcomes

To provide awareness of the two most integral branches (Supervised & Unsupervised learning) coming under Machine Learning

Describe intelligent problem-solving methods via appropriate usage of Machine Learning techniques.

To build appropriate neural models from using state-of-the-art python framework.

To build neural models from scratch, following step-by-step instructions.

To build end - to - end solutions to resolve real-world problems by using appropriate Machine Learning techniques from a pool of techniques available.

To critically review and select the most appropriate machine learning solutions

To use ML evaluation methodologies to compare and contrast supervised and unsupervised ML algorithms using an established machine learning framework.

Beginners guide for python programming is also inclusive.

Introduction to Machine Learning - Indicative Module Content

Introduction to Machine Learning:- What is Machine Learning ?, Motivations for Machine Learning, Why Machine Learning? Job Opportunities for Machine Learning

Setting up the Environment for Machine Learning:-Downloading & setting-up Anaconda, Introduction to Google Collabs

Supervised Learning Techniques:-Regression techniques, Bayer's theorem, Naïve Bayer's, Support Vector Machines (SVM), Decision Trees and Random Forest.

Unsupervised Learning Techniques:- Clustering, K-Means clustering

Artificial Neural networks [Theory and practical sessions - hands-on sessions]

Evaluation and Testing mechanisms :- Precision, Recall, F-Measure, Confusion Matrices,

Data Protection & Ethical Principles

Setting up the Environment for Python Machine Learning

Understanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)

Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate Selection

Data Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..

Artificial Neural Networks with Python, KERAS

KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step

Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]

Naive Bayes Classifier with Python [Lecture & Demo]

Linear regression

Logistic regression

Introduction to clustering [K - Means Clustering ]

K - Means Clustering

The course will have step by step guidance for machine learning & Data Science with Python.

You can enhance your core programming skills to reach the advanced level. By the end of these videos, you will get the understanding of following areas the

Python Programming Basics For Data Science - Indicative Module Content

Python Programming

Setting up the environment

Python For Absolute Beginners : Setting up the Environment : Anaconda

Python For Absolute Beginners : Variables , Lists, Tuples , Dictionary

Boolean operations

Conditions , Loops

(Sequence , Selection, Repetition/Iteration)

Functions

File Handling in Python

Algorithm Analysis For Data Scientists

This section will provide a very basic knowledge about Algorithm Analysis. (Big O, Big Omega, Big Theta)

Java Programming for Data Scientists

Deep Convolutional Generative Adversarial Networks (DCGAN)

Generative Adversarial Networks (GANs) & Deep Convolutional Generative Adversarial Networks (DCGAN) are one of the most interesting and trending ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator , learns to create images that look real, while a discriminator learns to tell real images apart from fakes.

At the end of this section you will understand the basics of Generative Adversarial Networks (GANs) & Deep Convolutional Generative Adversarial Networks (DCGAN) .

This will have step by step guidance

Import TensorFlow and other libraries

Load and prepare the dataset

Create the models (Generator & Discriminator)

Define the loss and optimizers (Generator loss , Discriminator loss)

Define the training loop

Train the model

Analyze the output

Does the course get updated?

We continually update the course as well.

What if you have questions?

we offer full support, answering any questions you have.


Who this course is for:

Beginners with no previous python programming experience looking to obtain the skills to get their first programming job.

Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.

Who want to improve their career options by learning the Python Data Engineering skills.


Who this course is for:
Anyone who wish to start the career in Data Science


Homepage

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Learn Streamlit Python

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Learn Streamlit Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 62 lectures (12h 29m) | Size: 6.2 GB

Create Beautiful Data Apps and Machine Learning Web Apps In Python Faster with Streamlit

What you'll learn:
Learn the basics of Streamlit Framework
Use Streamlit to create Machine Learning Web Apps and Data Apps
Deploying Streamlit Python Web Applications

Requirements
Basic understanding of Python programming language
Understand Machine Learning Concepts in Python
Determination and Desire to Learn New Things


Description
Are you having difficulties trying to build web applications for your data science projects? Do you spend more time trying to create a simple MVP app with your data to show your clients and others? Then let me introduce you to Streamlit - a python framework for building web apps.

Welcome to the coolest online resource for learning how to create Data Science Apps and Machine Learning Web Apps using the

awesome Streamlit Framework and Python.

This course will teach you Streamlit - the python framework that saves you from spending days and weeks in creating

data science and machine learning web applications.

In this course we will cover everything you need to know concerning streamlit such as

Fundamentals and the Basics of Streamlit ;

- Working with Text

- Working with Widgets (Buttons,Sliders,

- Displaying Data

- Displaying Charts and Plots

- Working with Media Files (Audio,Images,Video)

- Streamlit Layouts

- File Uploads

- Streamlit Static Components

Creating cool data visualization apps

How to Build A Full Web Application with Streamlit

By the end of this exciting course you will be able to

Build data science apps in hours not days

Productionized your machine learning models into web apps using streamlit

Build some cools and fun data apps

Deploy your streamlit apps using Docker,Heroku,Streamlit Share and more

Join us as we explore the world of building Data and ML Apps.

See you in the Course,Stay blessed.

Tips for getting through the course

Please write or code along with us do not just watch,this will enhance your understanding.

You can regulate the speed and audio of the video as you wish,preferably at -0.75x if the speed is too fast for you.

Suggested Prerequisites is understanding of Python

This course is about Streamlit an ML Framework to create data apps in hours not weeks. We will try our best to cover some concepts for the beginner and the pro .

Who this course is for
Beginner Python Developers curious about Streamlit
Data Scientist and ML Engineers who want to productionized their Models faster

Homepage

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Copywriting & Content Marketing Course 2021: Be a Copywriter

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Copywriting & Content Marketing Course 2021: Be a Copywriter
Duration: 16h 35m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 7.58 GB
Genre: eLearning | Language: English

Be a Content Marketing, SEO & Copywriting Expert - Profit with Content Marketing: 2021's Most Powerful FAST LEARN Course



What you'll learn
Become an EXPERT copywriter with the power to CONVERT browsers into buyers - and learn how to persuade and overcome customer objections so you SELL MORE!
My course will teach you ALL FUNDAMENTALS you need to know to create HIGHLY PERSUASIVE CONTENT from scratch.
Even if you're a complete beginner, my course will teach you everything you need to know about Copywriting Essentials and Psychology of persuasion.
EASILY CREATE PRO looking, responsive WEBSITES on WordPress (No coding required!) - make money creating websites for others.

Requirements
An internet connection and a smartphone or laptop. This course is SUITABLE FOR COMPLETE NOVICES OR those who've already gained some experience.
Determination and a hunger to learn. If you have this, you don't need ANYTHING else, as we'll teach you the rest.


Description
Upskill yourself and ensure you're never out of work or out of clients, with the CONTENT MARKETING & COPYWRITING COURSE 2021. Learn everything you need to know to become a Professional Content Creator, and start a new career online, or boost your local or e-commerce Business.

Dear Students,

Hi, I'm Tomas Moravek, and in 2016 I was awarded the Internet Efficiency Award for my Digital Marketing Strategy. Now I'm on Udemy, with my exclusive, comprehensive course designed to take you from novice to expert in CONTENT MARKETING and COPYWRITING.

With this course, I've really gone over the top to bring you extra value. As well as my award-winning Digital Marketing, Copywriting and SEO strategies, I've employed a selection of experts to give their input on content creation, copywriting, freelancing, job seeking, and more.

This course will teach you EVERYTHING YOU NEED TO KNOW about CONTENT MARKETING, including the art of professional SEO Copywriting, so you create content that DEMANDS ATTENTION.

POWER UP YOUR DIGITAL MARKETING GAME with easy to follow tutorials that QUICKLY teach you how to use Newsletter, Press Release, Blog, and Content Marketing to BOOST all your campaigns.

My driving motivation is my passion to share with others, so I can see them expand their skillset and grow in their mastery using my knowledge. I get enormous satisfaction from the feedback my thousands of satisfied students give me.

You'll also get the professional guide to Copywriting MASTERY, plus BONUS Freelancing and employment strategies, so you can land your first client or get your dream job RIGHT AWAY.

This course is a passion of mine, so I constantly update and improve it. FREE LIFETIME UPDATES AND ACCESS are included when you enrol, so you can always access the latest CONTENT and COPYWRITING strategies.

My Ultimate Content Marketing Mastery course is designed to help you succeed no matter what level of skill you are at, even if you are a complete novice. You will need to put in the work, but I can assure you, if you do, YOU WILL SEE RESULTS.

With Lifetime access and updates, and a 30-day money-back refund guaranteed, there's NOTHING TO LOSE and UNLIMITED PROFIT to unlock.

Learn HIGHLY PERSUASIVE SEO Copywriting Techniques - seamlessly boost your SEO while pushing your customer's buttons. Copywrite for SALES SUCCESS with our EXPERT guide from a pro content creator - includes easy walkthroughs to MAX your SEO copywriting results. Free Course for Beginners. This Copywriting course is completely animated and optimised for beginners to learn FAST. This course also includes a pro copywriting PDF guide and PDF checklist, so you can create content like an expert, and sell more.

We know many marketers wonder if copywriting is still relevant, as we live in an age where video, visual and podcast content are the most shared mediums. Yet copywriting is still so vital, as it has the power to improve nearly every aspect of your marketing. If you know how to write content that grabs people from the start you can raise your game and boost customer engagement massively.

SO, HOW CAN MASTERING THE ART OF COPYWRITING BENEFIT YOU?

From your sales pages to your press releases, video scripts, blog post headlines meta descriptions, and email campaigns to your Facebook posts and Press releases, knowing how to create great copy will help your marketing efforts enormously.

When you learn how to do it right, you'll be able to get higher conversion rates on key pages, improve the structure of your blogs, get more engagement in social media, and have many more people share your content.

Most importantly of all, you'll be able to understand your customer's needs, which will help you connect with your target audience much better.

To create truly great copy, you first need to know your audience. You must understand what drives them, their hopes, dreams, thoughts, fears and desires.

Once you have this knowledge, you'll be able to write copy that immediately connects with the people you're trying to reach, because you'll be speaking their language. This will make all your content 100% more effective, and you'll find it easier to be able to get people to take the action you want.

Knowing how to write good copy is an essential marketing skill, that will help you boost your reach, sell more, and get more customer engagement.

It will also make you much more employable, according to the National Association of Colleges and Employers, 73% of employers want to hire people with strong writing skills.

Get the knowledge you need to expand your skills, and effectively market your business in today's fast-paced digital business environment.

We look forward to welcoming you on board as my newest student,

Yours,

Ing. Tomas Moravek & Beck Robertson, NCTJ qualified journalist and copywriter with over 10 years' experience


Who this course is for:
For You
B2B, B2C, entrepreneurs, digital marketers, Facebook marketers, affiliate marketers, growth hackers, start-ups, marketers, influencers, Facebook admins, Facebook editors, content creators, creatives, advertisers, real estate agents, job seekers, local businesses, website owners, website admins, SEO help seekers, bloggers, branding consultants, etc.

More Info

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