Snippets
My personal stash of data science code snippets that make my life easier. They're simple and reusable. Feel free to copy, tweak, and use them as you like.
*Some snippets written by me, some are from the internet (Thanks to the open source community).
Cross-Validation with Metrics
Advanced cross-validation with multiple metrics and detailed scoring
Data Preprocessing Pipeline
Complete data preprocessing pipeline for machine learning with missing values, scaling, and encoding
Feature Importance Visualization
Visualize and analyze feature importance from tree-based models
Model Evaluation Metrics
Comprehensive model evaluation with classification report, confusion matrix, and visualization
Pandas Data Cleaning Utilities
Common pandas operations for data cleaning and exploration
Data Visualization Utilities
Common plotting functions for data science with matplotlib and seaborn
Train-Test Split with Stratification
Advanced train-test splitting with stratification and validation set