krishcy25/Building-several-Regression-MachineLearning-Algorithms-for-ContinuousOutcomePrediction
This repository focuses on building several Regression Models-Linear Regression, XGBoost Regressor, Ridge Regression, Lasso Regression, Polynomial Regression that predicts the continuous outcome (House Prices) along with several Data Preparation Techniques (Transformations/Scaling, Imputation, Filtering of Outliers, Handling of correlated features, One Hot Encoding)
Building-several-Regression-MachineLearning-Algorithms-for-ContinuousOutcomePrediction
This repository focuses on builing several Regression Models with Continuous Outome that predicts the House Price as part of Kaggle Competition
Competition lik can be found below:
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
Code for building several Regression Models can be found in the Notebook "Regression-ML Models- House Prices.ipynb". The datasets used for train/validate the models is included in the repository
Regression Models built in the code:
Model 1: Linear Regression
Model 2: Ridge Regression Model
Model 3: Lasso Regression Model
Model 4: XG Boost Regressor
Model 5: Polynomial Regression (with 2 degrees of feature interaction)
