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 In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems 

Course Details

Highlights

• Overview of Python
• Installation of Anaconda (Python)
• Basic concepts
• Variables & Data types
• Functions
• String , List
• File handling
• Statistical learning vs. Machine learning
• Iteration and evaluation
• Bias-Variance trade-off
• Clustering
• Neural Networks
• Types of Neural Networks