GitHub / krishcy25 / PyCaret-RegressionModels-HousePricePrediction-KaggleCompetition

This repository contains code to build 21 Regression Machine Learning Models to predict the house price in Python using PyCaret. Models are compared against the statistics (RMSE), best model was picked, tuned, saved/loaded for model deployment and used to predict the observations on unseen data. The final file with predictions on unseen data was submitted to Kaggle Competition placing me in Top 20%

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krishcy25%2FPyCaret-RegressionModels-HousePricePrediction-KaggleCompetition
PURL: pkg:github/krishcy25/PyCaret-RegressionModels-HousePricePrediction-KaggleCompetition

Topics: catboost-model, house-price-prediction, kaggle-competition, machine-learning-algorithms, modelbuilding, pycaret, regression-models, regressionanalysis

• Files
• Readme
• Dependencies