GitHub / Edanur-Y / Laptop-Price-Prediction-with-Regression-Models
Comparing the performances of multi-layer perceptron, k-nearest neighbors, random forest, gradient boosting and extreme gradient boosting regression and on laptop data to predict the price.
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PURL: pkg:github/Edanur-Y/Laptop-Price-Prediction-with-Regression-Models
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Language: Jupyter Notebook
Size: 51.8 KB
Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
Topics: data-analysis, data-transformation, feature-importance, hyperparameter-tuning, python