Curation of Machine Learning Tutorials

Collections of notebooks

1. Exploratory data analysis

   • 🔌⚡ASHRAE -Start Here: A GENTLE Introduction
   • A deep dive EDA into ALL variables
   • EDA for ASHRAE
   • Missing data and zeros visualized
   • ASHRAE - Zeros

2. Preprocessing

   • Time alignment
     • Aligning Temperature Timestamp
   • Site location
     • Locate cities according weather temperature🌇
   • Data imputation
     • NaN restoration techniques for weather data
     • Locate BETTER Cities by Weather Temp
     • Best NA imputation and EDA ASHRAE 3

3. Prediction models

   • Regression models
     • ASHRAE: Half and Half
     • ASHRAE: Training LGBM by meter type
     • ASHRAE- KFold LightGBM - without leak (1.08)
     • Starter EDA and Feature selection ASHRAE3
     • Ashrae: simple data cleanup (LB 1.08 no leaks)
     • AC/DC
     • Simple Linear Regression Benchmark
   • Stacking models
     • ASHRAE: Leak Validation and more
     • ASHRAE Leak Validation BruteForce Heuristic Search
     • ASHRAE Leak Validation Gradient Descent Search

4. Data scraping

   • ASHRAE: Leak Data Station
   • ASHRAE - UCF Spider and EDA (Full Test Labels)
   • UCL: Data Leakage (Episode 2)
   • Scrap ASU data
   • UCB: Data Leakage (Site 4 - 81 buildings)
   • ASHRAE-site15-cornell