Welcome to the Python Guided Projects repository! This repository contains various machine learning projects that I've completed by following tutorials and guides on YouTube. These projects helped me practice and reinforce my understanding of machine learning concepts.
In this repository, you will find a collection of machine learning projects implemented in Python. Each project is based on a YouTube tutorial that I followed to learn and apply different machine learning techniques. The goal is to provide a reference for others who are learning machine learning and to showcase my progress in this field.
Below is a list of projects included in this repository:
-
Diabetes Prediction Model
- Description: This project uses an SVM classifier to predict whether a person has diabetes based on specific health metrics.
- YouTube Tutorial: Link to the YouTube tutorial
- Files:
diabetes_prediction_model/
-
Fake News Prediction Model
- Description: This project involves building a model to classify news articles as real or fake using natural language processing techniques.
- YouTube Tutorial: Link to the YouTube tutorial
- Files:
fake_news_prediction_model/
-
House Price Prediction Model
- Description: This project predicts house prices based on various features such as location, size, and number of bedrooms using regression techniques.
- YouTube Tutorial: Link to the YouTube tutorial
- Files:
house_price_prediction_model/
-
Loan Status Prediction Model
- Description: This project predicts the status of a loan application (approved or rejected) based on applicant data using classification algorithms.
- YouTube Tutorial: Link to the YouTube tutorial
- Files:
loan_status_prediction_model/
-
Model for Customer Segmentation
- Description: This project segments customers into distinct groups based on their purchasing behavior using clustering techniques.
- YouTube Tutorial: Link to the YouTube tutorial
- Files:
customer_segmentation_model/
Contributions are welcome! If you have suggestions for improvements or new projects to add, please open an issue or submit a pull request. For major changes, please open an issue first to discuss what you would like to change.
If you have any questions or feedback, feel free to reach out:
- GitHub: SandyDRawat
- Email: [email protected]
Happy coding!