ReshmaPatilPawar/AY-24-25DSBDA
May 2025 – May 2025
1 Month active
Languages Used
CSSHTMLJavaScriptPython
Technical Skills
Data AnalysisData PreprocessingDecision Tree RegressorFlaskLinear RegressionMachine Learning
Ganeshadsule
PROFILE
Ganeshadsule
Developed an end-to-end car price prediction system in the AY-24-25DSBDA repository, delivering a complete data pipeline and real-time prediction API. The work involved building robust data loading and preprocessing routines, including outlier removal and categorical feature encoding, to ensure high-quality model inputs. Multiple regression models were trained and evaluated using Python and Scikit-learn, with the Random Forest Regressor selected for deployment based on performance. Integrated a Flask-based web API to serve predictions, enabling seamless access for users. The project demonstrated practical application of machine learning, data analysis, and web development skills, focusing on enabling data-driven pricing decisions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
5,842
Activity Months1
Your Network
57 peopleWork History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for ReshmaPatilPawar/AY-24-25DSBDA: End-to-end car price prediction capability delivered, with a Flask API for real-time predictions. Focused on data pipeline, model development, and API delivery to enable data-driven pricing decisions.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for ReshmaPatilPawar/AY-24-25DSBDA: End-to-end car price prediction capability delivered, with a Flask API for real-time predictions. Focused on data pipeline, model development, and API delivery to enable data-driven pricing decisions.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPython
Technical Skills
Data AnalysisData PreprocessingDecision Tree RegressorFlaskLinear RegressionMachine LearningModel TrainingPandasRandom Forest RegressorScikit-learnWeb DevelopmentXGBoost
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