Data Science, Statistics, Tech, Machine Learning, Programming.
you start this series, but you won’t regret it. At this point, it’s important for you to go over the separate techniques and grasp the whole picture. This starts with understanding key concepts: the distinction between supervised and unsupervised learning, classification and regression, and so on.