Introduction

Practicing Kaggle Data Practice (House Prices, https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques) to learn more about prediction with Advanced Regression Techniques.

Datasets

House Prices - Advanced Regression Techniques

Libraries used

Pandas, Matplotlib, Scikit-learn, Scipy, Seaborn, XGBoost, LightGBM

Data Pre-Processing

• Outlier cleansing, Log Transformation
• Missing Data inputing
• Correlation Check
• Categorizing and Adding Features
• Box-Cox Transformation

Modeling

• Cross Validation
• Model Structuring/Scoring and Comparison
  • LASSO Regression
  • Elastic Net Regression
  • Kernel Ridge
  • Gradient Boosting
  • XGBoost

Stacking Models

• Averaging
• Meta-Model