Basics to Data Science

– 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)

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