https://github.com/bogumilo/house-prices-xgboost

House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression
https://github.com/bogumilo/house-prices-xgboost

column-transformer data-pipeline data-transformation decision-tree-regression decision-trees feature-engineering feature-scaling gridsearchcv house-price-prediction house-prices-competition kaggle-competition knnimputer machine-learning ohe python tensorflow tensorflow-tutorial xgboost xgboost-regression

Last synced: 1 day ago
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House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression

• Host: GitHub
• URL: https://github.com/bogumilo/house-prices-xgboost
• Owner: bogumilo
• Created: 2023-03-14T19:11:44.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-03-14T19:36:18.000Z (over 1 year ago)
• Last Synced: 2024-09-22T08:30:23.869Z (6 days ago)
• Topics: column-transformer, data-pipeline, data-transformation, decision-tree-regression, decision-trees, feature-engineering, feature-scaling, gridsearchcv, house-price-prediction, house-prices-competition, kaggle-competition, knnimputer, machine-learning, ohe, python, tensorflow, tensorflow-tutorial, xgboost, xgboost-regression
• Language: Jupyter Notebook
• Homepage:
• Size: 220 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# House Prices XGBoost

One of the favourites machine learning competitions for advanced regression techniques.

Project is not limited to solution with XGBoost (RMSLE 0.140958).

It guides through the process of data exploration, preprocessing and feature engineering.

This repo contains also handy `data/solution.csv` that allow you to test your score without submission

to Kaggle.