To start, we will cover some mathematical underpinnings and tools required. Also basic introduction to obtain data from APIs and scraping data
Will cover how to obtain and inspect data to understand its quality, how data can be cleaned up and augmented
Will cover common training methods and models from sklearn library and use it for regression and classification problems. Will cover clustering techniques using the sklearn library.
Introduction to deep learning techniques using keras library