ML_Projects — practical machine learning notebooks

Hi — this is my personal collection of bite-sized machine learning projects. Each folder is a self-contained experiment or tutorial built while learning new techniques and practicing end-to-end workflows.

What this repo is for

• Short, focused notebooks you can open and run in a few minutes.
• Practical examples: classification, regression, recommendations, basic NLP, EDA.
• Clear notebooks that show the problem, data, modeling, and quick evaluation.

How to use

1. Clone:

   git clone https://github.com/vijaykalore/ML_Projects.git

2. Create a virtual env (PowerShell):

   python -m venv .venv ..venv\Scripts\Activate.ps1

3. Install common packages:

   pip install -r requirements.txt (If a project has its own requirements.txt, prefer that.)

4. Start Jupyter and open the notebook for the project you want:

   jupyter lab

Quick project index (jump to the folder name in this repo)

• A Bank Customer Churn Prediction System — churn classification with feature engineering.
• Airline Passenger Satisfaction Model With Machine Learning passenger satisfaction classification.
• Book recommendation system simple collaborative/content filtering.
• Car Price Prediction Model / Car price prediction model regression for vehicle pricing.
• Credit card fraud detection handling class imbalance and anomaly detection.
• Diabities prediction medical-data classification.
• End To End ChatBot a simple chatbot pipeline.
• Flight Price Prediction Model / Flight Price Prediction System feature engineering for price forecasting.
• Heart disease prediction model interpretable clinical models.
• House price prediction model — regression with EDA and baseline models.
• Language Detection system basic NLP classifier to identify language from text.
• Laptop Price Prediction — product pricing regression.
• Loan Price Prediction Model loan-approval/prediction example.
• movie recommendation system collaborative filtering basics.
• Password Strength checker system heuristics and ML-based password scoring.
• Placement classification Using Machine Learning — student placement prediction.
• Titanic Survival Prediction System — classic starter project.
• Unemployment in India exploratory analysis and visualization.

Contributing

• Found a bug or have an improvement? Open an issue describing the change.
• To contribute code: fork, make a focused change, include a short README for new projects, and open a pull request.

Vijay