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Description
π― RELOAD'25 Task Submission
π€ Participant Information
- Full Name: [somil jain]
- Email: [somil16022006@gmail.com]
- Phone: [9997990155]
- College Roll No: [2400270100174]
- Year & Branch: [2nd year CSE]
π― Task Details
- Track: [Machine Learning]
- Task Completed: Task [5] - [ML - Smartphone Usage Analysis]
π Submission Links
- GitHub Repository: [https://github.com/somiljain2006/smartphone]
π οΈ Technical Implementation
Tech Stack/Tools Used:
- Primary: [Python]
- Libraries: [pandas, matplotlib, scikit-learn]
- Environment: [Jupyter]
β¨ Features Showcase
Core Features Implemented:
- [It can handle missing and duplicate values efficiently and can handle outliners too]
- [It shows relationships between different columns, which helps us to understand data easily and draw conclusions based on it.]
Bonus Features Added:
- [Interactive Visualizations ]
- [Creative Analysis]
π Analysis Completed:
- Data cleaning and preprocessing
- Usage patterns analysis
- Academic performance correlation
- Sleep impact analysis
- Mental health indicators
- [Additional analyses]
β Checklist Confirmation
- All features working as intended
- Repository is public and accessible
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