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adaboost-regression

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PraveenObulreddy / USA-Housing-Price-Prediction

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In this project I have implemented 15 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

linear-regression ridge-regression regression-models stochastic-gradient-descent gradient-boosting lasso-regression knn-regression robust-regresssion random-forest-regression xgboost-regression regression-ana lightgbm-regressor catboostregressor elasticnet-regression theil-sen-regression adaboost-regression
  • Updated Mar 16, 2023
  • Jupyter Notebook

EricPaul075 / OCP4-Machine-learning-to-predict-energy-consumption

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Machine learning regression model to predict energy consumption and GHG emission

python machine-learning feature-engineering ridge-regression regression-models scikitlearn-machine-learning lasso-regression model-comparison kernel-ridge-regression random-forest-regression xgboost-regression neural-network-regression elasticnet-regression kernel-svm-regression adaboost-regression
  • Updated Nov 21, 2022
  • Jupyter Notebook

am-tropin / poland-apartment-prices

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🇵🇱🏠 The project predicts an apartment price for Warsaw, Krakow and Poznan. Distributed apartments by districts using geopandas; built XGBoost model with MAPE = 9% (the best of others).

python linear-regression scikit-learn regression ridge-regression geopandas lasso-regression decision-tree-regression random-forest-regression xgboost-regression gradient-boosting-regression adaboost-regression stacked-ensemble
  • Updated Nov 17, 2023
  • Jupyter Notebook

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