https://github.com/pavankethavath/car_dekho_car_price_prediction
A Streamlit web app utilizing Python, scikit-learn, and pandas for used car price prediction. Features data preprocessing (scaling, encoding), Random Forest model optimization with GridSearchCV, and interactive user input handling. Achieves high accuracy (R² score: 0.9028), showcasing skills in machine learning, data engineering, and deployment.
https://github.com/pavankethavath/car_dekho_car_price_prediction
dataanalysis datacleaning datapreprocessing eda encoding feature-extraction feature-selection featureimportance fine-tuning machine-learning minmaxscaling normalization pandas pickle prediction-model python random-forest randomsearch-cv regression streamlit
Last synced: 6 months ago
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A Streamlit web app utilizing Python, scikit-learn, and pandas for used car price prediction. Features data preprocessing (scaling, encoding), Random Forest model optimization with GridSearchCV, and interactive user input handling. Achieves high accuracy (R² score: 0.9028), showcasing skills in machine learning, data engineering, and deployment.
- Host: GitHub
- URL: https://github.com/pavankethavath/car_dekho_car_price_prediction
- Owner: pavankethavath
- Created: 2024-10-09T10:49:51.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-27T16:38:29.000Z (11 months ago)
- Last Synced: 2025-02-04T23:32:27.480Z (9 months ago)
- Topics: dataanalysis, datacleaning, datapreprocessing, eda, encoding, feature-extraction, feature-selection, featureimportance, fine-tuning, machine-learning, minmaxscaling, normalization, pandas, pickle, prediction-model, python, random-forest, randomsearch-cv, regression, streamlit
- Language: Python
- Homepage:
- Size: 182 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md