Welcome to my Machine Learning Projects repository! This repository contains a collection of projects related to machine learning, showcasing various techniques, algorithms, and applications.
This repository is a compilation of my machine learning projects, each designed to explore different aspects of machine learning, from classical algorithms to deep learning models. The projects cover a wide range of applications, including but not limited to image classification, natural language processing, and predictive modeling. We are Using SKlearn library for all these Projects.
- Amazone Product Recommendation System using Cosine Similarity
- Big Mart Sales Prediction using XGBRegressor
- Book Recommendation System using collaborative filtering
- Breast Cancer Classification using Logistic Regression
- Calories Burnt prediction using XGBoost
- Car Price Prediction using Linear and Lasso regression
- Credit Card Fraud Detection using Logistic Regression
- Crop Recommendation system using multiple ML algorithms
- Customer Segmentation using K-Means Clustering
- Diabetes Prediction using KNN
- Diabetes Prediction using SVM
- Estimation of Obesity levels using Logistic Regression
- Fake News Prediction using Logistic Regression
- Gold Price Prediction using Machine Learning with Python
- Heart Disease Prediction using Random Forest
- Laptop Price Prediction Using Multiple Regression algorithms
- Loan Approval Status Prediction using SVM
- Loan Payment Status Prediction using Naive Byes
- Medical Insurance Cost Prediction using Linear Regression
- Movie Recommendation System using Cosine Similarity
- Parkinson's Disease Detection using SVM
- Placement prediction using Logistic Regression
- SONAR Rock vs Mine Prediction using Logistic Regression
- Spam Mail Prediction using Logistic Regression
- Titanic Survival Prediction using Logistic Regression
- Wine Quality Prediction using Random Forest algo
- Mini Project: Finding similiar Characters of Game of Thrones using ML Algorithms
This list is sorted alphabetically based on the first character of each project's name.
Feel free to explore each project's directory for more details and specific documentation.
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Clone the repository:
git clone https://github.com/arpitpatelsitapur/ML-projects
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Install dependencies:
pip install -r requirements.txt
Each project may have its own set of instructions and requirements. Please refer to the respective project's directory for detailed usage guidelines.
If you'd like to contribute to these projects, please follow the Contribution Guidelines.
Attention Contributors and Users:
Some datasets(like creditcard.csv,newsdata-train.csv), due to their size exceeding GitHub's 100 MB limit, are not uploaded to this repository. You can find and download these datasets from the following sources:
- Kaggle: Kaggle Datasets
Please ensure you have the necessary permissions to use and download these datasets from their respective sources. Thank you for your understanding.
Happy exploring and contributing!