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Dive into a comprehensive live session on getting started with Machine Learning. Work through an end-to-end case study to understand the different stages of model building using Machine Learning concepts. Learn data manipulation techniques with pandas and NumPy, and visualize data using Matplotlib and Seaborn libraries. Perform exploratory data analysis on a Diabetes dataset and build a Machine Learning model to predict diabetic patients based on various attributes. Gain insights into the basics of the scikit-learn library for implementing machine learning algorithms. Access course materials and session PDF for further study and reference.
