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GitHub / Neeleshweb / House-Selling-Price-Prediction-using-various-models

In this project, the selling price of the houses have been predicted using various Regressors, and comparison charts have been shown that depict the performance of each model. This submission was ranked 107 out of 45651 in first attempt on Kaggle leader-board which can be accessed from here : https://www.kaggle.com/c/home-data-for-ml-course/leaderboard

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Neeleshweb%2FHouse-Selling-Price-Prediction-using-various-models

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 6.92 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 4 years ago
Pushed at: over 4 years ago
Last synced at: 4 months ago

Topics: datacleaning, decision-tree-regression, exploratory-data-analysis, hyperparameter-optimization, labelencoding, linear-regression, minmaxscalar, random-forest, xgboost-regression

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