Our Machine Learning with Python Course is here to teach you how to install Python, and then use it to build your own recommendation system, sentiment analyser, and much more!
This course includes over 14 hours of industry-leading expert lessons, that will cover subjects from Deep Learning & Computer Vision, to Recommendation Systems in Python, to Machine Learning!
What is Python?
These are just some of the subjects covered in this course:
-Recommendation Systems in Python
-Deep Learning & Computer Vision
-Twitter Sentiment Analysis in Python
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Exam preparation quizzes, tests and mock exams to ensure that you are 100% ready
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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
Minimum specifications for the computer are:
Microsoft Windows XP, or later
Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)
OSX/iOS 6 or later
Modern and up to date Browser (Firefox, Chrome, Safari)
Internet bandwidth of 1Mb or faster
Flash player or a browser with HTML5 video capabilities (We recommend Google Chrome)