Machine learning is about extracting knowledge from data. It is a research field at the intersection of statistics, artificial intelligence, and computer science; it is also known as predictive analytics or statistical learning. From recommendations of which movies to watch, to which products to buy and recognizing your friends on social media, the application of machine learning methods has become present in everyday life. In this course, we will learn how you can leverage Python and supported libraries to make models. There are no required prerequisites. You will be taught the basics of Python, how to set up a Jupyter Notebook environment, using different libraries for visualizations, and the basics of Machine Learning. At the end of the course, you will be able to make a model from scratch. This course will be very rigorous.