Python Programming and Machine Learning

Introduction to Python Programming Language; The Pandas & NumPy Library; Pandas in Depth: Data Manipulation; Groupby Operations; The datetime Data Type; Data Visualization with matplotlib; Finding Your Center; Summarizing It All; What’s Normal?; The Confidence Game: Estimation; One-Sample Hypothesis Testing;  Two-Sample Hypothesis Testing; Testing More than Two Samples; More Complicated Testing; Introducing Machine Learning; Forecasting Numeric Data – Regression Methods; When the Response Falls into Two Categories – Logistic Regression; Time series models with Python; Cluster Analysis; Decision Tree & Random Forest;