Supervised Learning Projects

Supervised Machine Learning Projects

A curated portfolio of 50 supervised machine learning projects covering classification, regression, NLP, forecasting, healthcare, finance, operations, risk and customer analytics.

The repository is designed as a practical reference for learners, practitioners, recruiters, and reviewers who want to explore complete machine learning workflows with reproducible code and preserved notebook outputs.

Repository Highlights

• End-to-end supervised learning projects with practical problem statements.
• Classification, regression, NLP, forecasting, risk, healthcare, finance, and customer analytics use cases.
• Executed notebook outputs preserved for easier review.
• Reproducible workflows with validation, holdout evaluation and documented limitations.
• A mix of maintained original projects, refurbished projects and newly added portfolio projects.

Portfolio Standards

• Saved notebook outputs remain visible for reviewers.
• Every project includes a baseline, validation strategy, holdout evaluation and limitations.
• Time-series projects use chronological splits; classification projects report class-aware metrics.
• New demo datasets are deterministic and clearly identified—no synthetic result is presented as a real-world benchmark.
• Relative paths, reproducible seeds, dependency guidance and the locked creator branding are preserved.

Project Index

Project	Status	Data	Notebook evidence
AI Resume Screening and Candidate Fit Prediction	New	Reproducible domain demo	Executed output committed
Airbnb Stock Price Prediction	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Airline Satisfaction Prediction using Classification Algorithms	Maintained	Original data/notebook	Existing executed output retained
Airlines Delay Prediction using Classification Algorithms	Maintained	Original data/notebook	Existing executed output retained
Banknote Authentication Using Classification Algorithms	Maintained	Original data/notebook	Existing executed output retained
Breast Cancer Prediction using Classification Algorithms	Maintained	Original data/notebook	Existing executed output retained
Chronic Kidney Disease Prediction Using Classifiation Algorithms	Maintained	Original data/notebook	Existing executed output retained
Credit Card Default Risk Prediction	New	Reproducible domain demo	Executed output committed
Credit Score Prediction using Classification Algorithm	Maintained	Original data/notebook	Existing executed output retained
Crop Yield Prediction	New	Reproducible domain demo	Executed output committed
Customer Churn Analysis using Classification Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Customer Churn Analysis using Logistic Regression	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Customer Lifetime Value Prediction	New	Reproducible domain demo	Executed output committed
Customer Satisfaction Analysis using Classification Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Customer Support Ticket Routing	New	Reproducible domain demo	Executed output committed
Diabetes Prediction using Classification and Boosting Algorithm	Maintained	Original data/notebook	Existing executed output retained
Diamond Price Prediction using Regressor Algorithms	Maintained	Original data/notebook	Existing executed output retained
Drug Classification Using Classification Algorithms	Maintained	Original data/notebook	Existing executed output retained
E-Commerce Purchase Intention Prediction	New	Reproducible domain demo	Executed output committed
E-Commerce Shipping Prediction using Classification Algorithm	Maintained	Original data/notebook	Existing executed output retained
Email Spam Detection	New	Reproducible domain demo	Executed output committed
Employee Attrition Risk Prediction	New	Reproducible domain demo	Executed output committed
Energy Consumption Forecasting	New	Reproducible domain demo	Executed output committed
Fake News Detection with NLP	New	Reproducible domain demo	Executed output committed
Flight Fare Prediction	New	Reproducible domain demo	Executed output committed
Food Delivery ETA Prediction	New	Reproducible domain demo	Executed output committed
Heart Disease Prediction using Classification Algorithms	Maintained	Original data/notebook	Existing executed output retained
Hospital Readmission Risk Prediction	New	Reproducible domain demo	Executed output committed
Hotel Reservation Booking Status Prediction using Classification Algorithm	Maintained	Original data/notebook	Existing executed output retained
Housing Cost Prediction using Regression Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Insurance Claim Severity Prediction	New	Reproducible domain demo	Executed output committed
Insurance Premium Prediction using Regression Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
IPL Winner Prediction using Classification Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Kidney Stone Prediction using Classification Algorithm	Maintained	Original data/notebook	Existing executed output retained
Laptop Price Prediction using Regression Algorithms	Maintained	Original data/notebook	Existing executed output retained
Loan Approval Prediction using Classification Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Phishing URL Detection	New	Reproducible domain demo	Executed output committed
Predictive Maintenance Failure Prediction	New	Reproducible domain demo	Executed output committed
Product Review Sentiment Analysis	New	Reproducible domain demo	Executed output committed
Rain Prediction in Australia using Classification Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Rainfall Amount Prediction using Regression Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Retail Demand Forecasting	New	Reproducible domain demo	Executed output committed
Salary Prediction for Data Science Jobs using Regression Algorithms	Maintained	Original data/notebook	Existing executed output retained
Stroke Prediction using Machine Learning Classification Algorithm	Maintained	Original data/notebook	Existing executed output retained
Supply Chain Cost Prediction	New	Reproducible domain demo	Executed output committed
Telemarketing Campaign Response using Classification Algorithms	Refurbished	Committed data or reproducible demo	Corrected workflow; output re-executed
Toxic Comment Classification	New	Reproducible domain demo	Executed output committed
Traffic Accident Severity Prediction	New	Reproducible domain demo	Executed output committed
Used Vehicle Price Prediction using Regression Algorithm	Maintained	Original data/notebook	Existing executed output retained
Vehicle Insurance Claim Fraud Detection using Classification Algorithms	Maintained	Original data/notebook	Existing executed output retained

Getting Started

python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install -r "Supervised Learning Projects/requirements.txt"

Each project directory contains the relevant notebook and supporting assets. Notebooks can be executed from top to bottom after installing the repository requirements. Existing projects that rely on external dataset links retain their recorded outputs, while newly added projects are designed to run without external downloads.

Author

Tajamul Khan — Data Scientist and AI Engineer

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