Description
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.
Courses Included:
Python Programming: From Beginner to Intermediate
Deep Learning & Computer Vision: An Introduction
Recommendation Systems in Python
Machine Learning – Decision Trees & Random Forests
Twitter Sentiment Analysis in Python
Quant Trading Using Machine Learning
Apache Storm: Learn by Example
Modules
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)
