Statistics for Machine Learning

Introductory Video

L1 - Ungrouped and Grouped Data

L2 - Measures of Central Tendency Mean

L3 - Measures of Central Tendency Median, Mode

L4 - Measures of Dispersion Standard Deviation

L5 - Measures of Dispersion Mean and Quartile Deviation

L6 - Exploring Statistical Properties of Data in Python - I

L7 - Exploring Statistical Properties of Data in Python - II

L8 - Exploring Bivariate Properties of Data Correlation, Scatterplot

L9 - Introduction to the Theory of Probability - I

L10 - Introduction to the Theory of Probability - II

L11 - Introduction to the Theory of Probability - III

L12 - Theorems of Probability

L13 - Random Variable

L14 - Probability Mass Function (pmf)

L15 - Probability Density Function (pdf)

L16 - Binomial Distribution

L17 - Poisson Distribution

L18 - Normal Distribution - I

L19 - Normal Distribution - II

L20 - Basic concept of Sampling

L21 - Sampling in ML

L22 - Estimation of Parameters - I

L23 - Estimation of Parameters - II

L24 - Estimation of Parameters - III

L25 - Estimation of Parameters - IV

L26 - Estimation of Parameters - V