Welcome to the Machine Learning Project Repository! This repo contains a collection of machine learning models, covering a wide range of applications. Each project includes datasets, Jupyter notebooks, and necessary code to train and test the models. Whether you are a beginner or an advanced ML enthusiast, this repository will be a valuable resource for learning and experimentation. 🧠💡
- Breast Cancer Classification 🏥 - Classifies whether a tumor is malignant or benign using deep learning.
- Diabetes Prediction 💉 - Predicts diabetes risk based on health parameters.
- Heart Disease Prediction ❤️ - Uses ML models to assess the likelihood of heart disease.
- Disease Prediction System 🏨 - Generalized system for predicting various diseases based on symptoms.
- Cat vs Dog Classification 🐱🐶 - Identifies whether an image contains a cat or a dog using transfer learning.
- Mask Detection Model 😷 - Detects whether a person is wearing a mask or not.
- Check Digit Recognizing 🔢 - Recognizes handwritten digits using deep learning.
- Credit Card Fraud Detection 💳🚨 - Detects fraudulent transactions using machine learning.
- House Price Prediction 🏠💰 - Predicts house prices based on different features.
- Loan Prediction 🏦 - Determines loan eligibility based on applicant data.
- Insurance Cost Prediction 📊 - Estimates insurance costs based on user health metrics.
- Gold Price Prediction 🏅📈 - Forecasts gold prices using historical data.
- Spam Detection 📩❌ - Classifies messages as spam or not using NLP.
- Fake News Prediction 📰
⚠️ - Identifies whether a news article is fake or real. - Movie Recommendation System 🎬🍿 - Suggests movies based on user preferences.
- Mall Customer Segmentation 🛍️ - Clusters mall customers based on shopping behavior.
- Car Price Prediction 🚘💲 - Predicts car prices based on various attributes.
- Sonar Rock or Mine 🌊⚒️ - Classifies sonar signals as either rocks or mines.
- Calories Burnt Prediction 🔥 - Estimates calories burnt based on exercise data.
- Titanic Survival Prediction 🚢🆘 - Predicts survival on the Titanic using historical passenger data.
- Wine Quality Prediction 🍷✅ - Assesses wine quality based on chemical properties.
- Clone the repository:
git clone https://github.com/HanumeshGupta/Machine_Learning.git
- Navigate to the project directory of interest.
- Install dependencies (if needed):
pip install -r requirements.txt
- Open the Jupyter Notebook and run the project:
jupyter notebook
Feel free to contribute to this repository by improving existing models, adding new datasets, or optimizing algorithms. Create a pull request, and let's build an amazing ML repo together! 🚀
If you have any queries or suggestions, reach out via GitHub issues or email me at hanumeshgupta2907@gmail.com