A ready to use pipeline to train models on custom datasets Use this as a boilerplate to build training and benchmarking pipelines Includes:
- Linear, Polynomial and Ridge Regression
- Support Vector Regression
- (Gradient Boosted) Decision Trees
- KNN Regressor
Boilerplate contains code for:
- EDA and visualization
- model training and optimization
- benchmarking
PS: for example dataset used is: https://www.kaggle.com/datasets/vikrishnan/boston-house-prices for starters notebook used is: https://www.kaggle.com/code/prasadperera/the-boston-housing-dataset