Welcome to the Machine Learning Projects Repository! This repository contains various projects showcasing different aspects of machine learning, including data mining, preprocessing, feature extraction, and more. Each project includes detailed Jupyter Notebooks with explanations and code.
| Project | Description | Learnings | Files | GitHub Repository |
|---|---|---|---|---|
| Spaceship Titanic | A Kaggle dataset project focusing on predicting which passengers survived the Titanic disaster. | Data Mining, Understanding Data Correlation, Preprocessing (SVD, PCA), Feature Extraction |  |
 |
| Breast Cancer Wisconsin Dataset | Analyzing a real-world dataset to predict breast cancer occurrences. | Real-World Dataset Handling, Scaling, Unsupervised Learning Techniques, Data Augmentation (SMOTE) | |
|
Feel free to fork this repository, make improvements, and submit a pull request. Your contributions are welcome!
This project is licensed under the MIT License - see the LICENSE file for details.