Category Machine Leaning Articles

S02L01-Introduction to ML and Supervised Learning

S02L02-Unsupervised Learning

S02L03 – Type of Data

S02L04 – Mean, Median, Mode

S02L05 – Standard Deviation

S02L06 – Most common data distributions

S02L07 – Percentiles, moment and Quantiles

S03L01 – Scatter plot on Iris dataset

S03L02 – Pair plot and limitations

S03L03-Tips Dataset

S03L04 – Seaborn plots

S03L05 – Facetgrid plots

S03L06 – Univariate Analysis using PDF

S03L07 – Boxplot and Violin Plot

S03L08 – HeatMap

S04L01-Matrices

S04L02 – Matrix operations and scalar operations

S04L03 – Matrix Multiplication

S04L04 – Vector multiplication

S04L05 – Identity matrix, matrix inverse properties, transpose of matrix

S05L02 – handling missing data

S05L03 – Feature selection and Encoding categorical data

S05L04 – Test and train data split and Feature scaling

S05L05 – Under and over sampling

S05L06 – Assignment and Tips