courseAI – Machine Learning & Data Processing With Python Bundle 2017

This bundle includes 7 courses that will immerse you in the fields of Machine Learning & Data Processing by teaching you the skills used to master both theory & practice

Learn how to install Python, and then use it to perform sentiment analysis, build a recommendation system, and so much more. With approximately 40 hours of expert instruction, by the time you’ve completed this bundle of courses, you’ll have a firm grasp of core machine learning concepts and be on your way to applying this essential technology in your career.

What is Python?

Python game programming is a set of Python modules made especially for creating games. It will allow you to create fully functioning games and multimedia programs. Python is the perfect program for creating games as it will run on almost every platform and operating system out there. Learning Python will give you the ability to create all sorts of games, either free or commercial.

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Wiki_tick  Unlimited access for 12 months

Wiki_tick  Access anywhere, any time

Wiki_tick  Fast effective training, written and designed by industry experts

Wiki_tick  Unlimited support

Wiki_tick  Save money, time and travel costs

Wiki_tick  Learn at your own pace and leisure

Wiki_tick  Easier to retain knowledge and revise topics than traditional methods

laptop-notebook-working-internetWhat the course will teach you:

  • Discover Core Machine Learning Concepts & Build An Artificial Neural Network
  • Build a movie recommendation system in Python
  • Learn Intuitive Machine Learning Techniques by Exploring a Classic Problem
  • Use Python and the Twitter API to build your own sentiment analyzer
  • Go from beginner to intermediate level Python user
  • Apply Machine Learning techniques to Quant Trading
  • Understand the risks involved in regression and avoid common pitfalls
  • Much More..

$1849
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Units Of Study

Description

Python Programming: From Beginner to Intermediate

Course Duration: 10.5 hrs

Python Programming: From Beginner to Intermediate is an essential training course for anyone who wants to begin learning Python. Using a Python IDE (integrated development environment) called iPython from Anaconda, the expert instructors in this course will lead you step-by-step through topics such as: functional language constructs, automated reports, website scraping, and natural language processing.
Deep Learning & Computer Vision: An Introduction

Course Duration: 2 hrs

Deep Learning & Computer Vision: an Introduction is the perfect course for students who want exposure to Machine Learning. This course will cover topics such as: Artificial Neural Networks, how to install Python, and Handwritten Digit Recognition.

Recommendation Systems in Python

Course Duration: 4.5 hrs

Recommendation Engines perform a variety of tasks, but the most important one is to find products that are most relevant to the user. Follow along with this intensive Recommendation Systems in Python training course to get a firm grasp on this essential Machine Learning component.

Machine Learning – Decision Trees & Random Forests

Course Duration: 4.5 hrs

This Machine Learning: Decision Trees & Random Forests online course will teach you cool machine learning techniques to predict survival probabilities aboard the Titanic – a Kaggle problem!

Twitter Sentiment Analysis in Python

Course Duration: 3.5 hrs

Sentiment Analysis, or Opinion Mining, is a field of Neuro-linguistic Programming that deals with extracting subjective information, like positive/negative, like/dislike, and emotional reactions.In this “Twitter Sentiment Analysis in Python” online course, you’ll learn real examples of why Sentiment Analysis is important and how to approach specific problems using Sentiment Analysis

Quant Trading Using Machine Learning

Course Duration: 11 hrs

This ’Quant Trading Using Machine Learning’ online training course takes a completely practical approach to applying Machine Learning techniques to Quant Trading. The focus is on practically applying ML techniques to develop sophisticated Quant Trading models. From setting up your own historical price database in MySQL, to writing hundreds of lines of Python code, the focus is on doing from the get-go.

Apache Storm: Learn by Example

Course Duration: 4 hrs

In this ’Apache Storm: Learn by Example’ online course, you will learn how to use Storm to build applications which need you to be highly responsive to the latest data, and react within seconds and minutes, such as finding the latest trending topics on Twitter, or monitoring spikes in payment gateway failures.

System Requirements

Minimum specifications for the computer are:

Windows:

Microsoft Windows XP, or later
Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)

MAC/iOS:

OSX/iOS 6 or later
Modern and up to date Browser (Firefox, Chrome, Safari)

All systems:

Internet bandwidth of 1Mb or faster
Flash player or a browser with HTML5 video capabilities (We recommend Google Chrome)

Please note: Although this course will work with the system requirements stated above, the software talked about and used in the course may vary. It is recommended that you check with the software suppliers website before making a purchase.