Machine learning builder focused on practical prediction systems, data mining, and deep learning experiments.
I build machine learning projects that turn raw data into useful predictions, recommendations, and insights.
Most of my work lives in Python and Jupyter notebooks, with projects across disease prediction, recommender systems, sentiment analysis, customer segmentation, house price prediction, fake news detection, and data mining.
I like working through the full path from exploring a dataset to training models, evaluating results, and making the output understandable.
- Machine learning models for classification, regression, clustering, and prediction tasks
- Deep learning experiments for text, sentiment, and neural network workflows
- Recommendation systems that connect users with relevant content
- Data mining projects that find patterns in messy datasets
- Healthcare-focused ML projects including disease prediction work
| Project | Focus |
|---|---|
| MultipleDiseasePrediction | Machine learning models for predicting diabetes, heart disease, and Parkinson's disease |
| DeepLearningProjects | Neural network, sentiment analysis, and text modeling experiments |
| ML-Projects | Classic ML projects across prediction, segmentation, and classification |
| MovieRecommenderSystem | Recommendation system project |
I'm always learning, building, and improving. Take a look around my projects, and feel free to connect through GitHub.