Computer Science

Random Search vs Linear Search vs Binary Search

Interpretability

Counterfactuals in Python on Fashion MNIST dataset

Interpret Linear Regression Model in Python

Visualize Tree Based Models

Partial Dependency Plots

Linear Regression

Simple GAM with PyGAM

Polynomial Regression and Step Regression

Lasso and Ridge Regression

Comparing Parametric vs Non-Parametric Regression as Features Increase

Finding High Leverage Points with Cook's Distance

Interaction Terms Example

Testing Multicollinearity with VIF

Linear Regression in Sklearn, Statsmodels API, & Statsmodels Formula

Checking for Linearity with Residual Plots

Logistic Regression

Interpretting Single Variable vs Multiple Logistic Regression

Machine Learning

Clustering - Spectral Clustering

Clustering - Image Compression with K-Means

Clustering - K-Means and HAC

GridSearch vs RandomizedSearch for Hyperparameter Tuning

Feature Selection Using Boruta Algorithm

Statistics

Example and Visualization of Tukey Test

Visualization

Animated Line Plot with Matplotlib

Clustering Correlated Matrix

Grouped Bar Charts and 100% Stacked Bar Chart

Waffle Charts

Papers

On the Trustworthiness of Tree Ensemble Explainability Methods

Interpretable Classifiers Using Rules and Bayesian Analysis - Building a Better Stroke Prediction Model

A Preprocessing Scheme for High-Cardinality Categorical Attributes in Classification and Prediction Problems

“Why Should I Trust You?”
Explaining the Predictions of Any Classifier