CrimsonScythe / dataModellingAnalysis

Mini data modelling and analysis projects including PCA, linear regression and hypothesis tests

mini projects showing basic data modelling and analysis techniques including PCA, linear regression and hypothesis testing

A1: Basic linear regression in python using standard numpy functions.

A2: Regularized linear regression (helps prevent overfitting) in python using standard numpy functions.

A5: classification techniques on the infamous iris dataset, using k-means clustering and random forests in Python. Also uses PCA to reduce dataset dimensionality.

src: PCA visualizations and implementation of multivariate principles in Python.