Getting Started with Machine Learning


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About this session

Great Learning brings you this live session on 'Getting Started with Machine Learning'. In this session, you will be working on an end-to-end case study to understand the different stages of Model building using Machine Learning concept. This will deal with 'data manipulation' with pandas , Numpy and 'data visualization' with Matplotlib and Seaborn libraries with the Diabetes dataset. After Data manipulation and Data visualization, Exploratory data analysis will be performed and then a ML model will be built on the Diabetes dataset to create a model/system which can predict the diabetic patients according to the different attributes. You will also learn about the basics of the scikit-learn library to implement the machine learning algorithm.

About the Speaker

Mr. Anirudh Rao

Great Learning


Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.

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