– Introduction to Data Science, NumPy, Matplotlib,
– Matrix Operations with NumPy
– Probability, properties of Probability Distributions
– Mean, Median, Mode, Variance, Skewness, Kurtosis, Multivariate Normal Distribution, Co-Variance, Correlation
– Introduction to Scikit-Learn
– Dimensionality Reduction as Data Pre-Processing
– Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)