This companion course to the ML Theory course introduces the student to scikit-learn, a popular Python machine learning module, to provide hands-on problem solving experience for all the methods and models learnt in the Theory course.
Understand the life cycle of a machine learning project - typical steps involved and tools that can be used in each step.
Using machine learning algorithms to solve practical problems using libraries like scikit-learn and tensorflow.
Fine tuning the algorithms through regularization, feature selection, and better models.
Develop an understanding of evaluation of machine learning algorithms and decide the next steps based on the analysis.
For details of standard term assessment timelines and exam structures, visit our Academics page.
Research Software Engineer , Google AI , Google
Dr. Ashish Tendulkar is a researcher with Google Research Bangalore. He holds Masters and PhD from IIT Bombay. Before his current position, he was an Assistant Professor at IIT Madras and Head of data sciences at Persistent Systems Pune. Ashish is passionate about teaching ML and writing AI related contents in Indian languages.