Day 0: Getting the most out of this challenge
Day 1: Introduction to Machine Learning
Day 2: Installing Python and Anaconda on your system.
Day 3: Introduction to DataAnalytics libraries: Numpy.
Day 4: Introduction to DataAnalytics libraries: Pandas
Day 5: Introduction to DataAnalytics libraries: Math.
Day 6: Introduction to DataAnalytics & Visualization libraries: Matplotlib.
Day 7: Introduction to DataAnalytics & Visualization libraries: Matplotlib (Continued).
Day 8: More plots with Matplotlib (Bar Plot)
Day 9: Introduction to DataAnalytics & Visualization libraries: Seaborn
Day 10: Working with Data in Python: Data Cleaning and preparation
Day 12: Steps Involved in Building Machine Learning Models.
Day 13: Introduction to supervised learning (Regression) algorithms.
Day 14: Introduction to supervised learning (Regression) algorithms continued.
Day 15: Task 1 (Regression model)
Day 17: Introduction to supervised learning (Classification) algorithms.
Day 18: Introduction to supervised learning (Classification) algorithms continued.