A growing portfolio of Python, SQL, Data Analysis, and Machine Learning projects โ built end-to-end, from raw data to deployed apps.
This repository is my hands-on project portfolio โ everything I build gets pushed here, from small Python scripts to fully deployed Machine Learning and Deep Learning apps.
Unlike a tutorial-follow-along, every project here started from a real dataset or problem and was taken through the full pipeline: data cleaning โ EDA โ modeling โ evaluation โ deployment.
๐ This repo is a work in progress. New projects are added as I build them โ check back often.
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๐ฑ Smartphone Addiction Prediction
PyTorch ANN ย ยทย 93.9% accuracy ย ยทย 0.989 ROC-AUC
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โ๏ธ AI Cloud Cost Prediction
LightGBM + Bayesian encoding ย ยทย Streamlit dashboard
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๐ฅ Employee Attrition Predictor
SVM ย ยทย IBM HR dataset ย ยทย Deployed Streamlit app
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๐๏ธ Retail Customer Segmentation
K-Means clustering ย ยทย Dark-UI Streamlit dashboard
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๐ค Machine Learning Projects (9 projects)
- AI Resume Screening
- Employee Salary Predictor
- Heart Disease Predictor (KNN)
- Loan Approval Predictor
- Student Score Predictor
- Students Success Predictor
- AI Cloud Cost Prediction
- Employee Attrition Prediction & HR Analytics System
- Retail Customer Segmentation using Clustering
๐ง Deep Learning Projects
- Smartphone Addiction Prediction (PyTorch ANN)
๐๏ธ SQL Projects (3 projects)
- E-Commerce Database Management System (PostgreSQL, full ER diagram + views)
- Library Management System
- Students Management System
๐ EDA Projects (7 notebooks)
- COVID India Analysis
- IPL Capstone
- Zomato Bangalore
- Mobile Phone Dataset
- Delivery Time Statistics
- Restaurant Analytics System
- Smartphone Sales Analytics
๐ Basic Python Projects (11 projects)
- Advanced Calculator
- Diary App
- Dice Rolling Game
- Fake News Headline Generator
- Gemini-Powered Terminal Chatbot
- Password Manager
- Personal Finance Tracker
- Student Management System
- Student Result Manager
- Task Manager
- To-Do List
git clone https://github.com/Rohit-coder-py/My_Projects.git
cd "My_Projects/Machine Learning Projects/<project-name>"
pip install -r requirements.txt
streamlit run app.py