Code that is part of the Machine Learning Engineering course by Alexey Grigorev. Here I present all my tasks, week by week and some of my final projects
| Code | Title | Post |
|---|---|---|
| Week 1 Homework | Introduction to Machine Learning |
Week 1 Post |
| Week 2 Homework | Machine Learning for Regression |
Week 2 Post |
| Week 3 Homework | Machine Learning for Classification |
Week 3 Post |
| Week 4 Homework | Evaluation Metrics for Classification |
Week 4 Post |
| Week 5 Homework | Deploying Machine Learning Models |
Week 5 Post |
| Week 6 Homework | Decision Trees and Ensemble Learning |
Week 6 Post |
| Week 7 Homework | Bento ML |
Week 7 Post |
| Week 8 Homework | Deep Learning |
Week 8 Post |
| Week 9 Homework | Serverless |
Week 9 Post |
| Week 10 Homework | Kubernetes |
Week 10 Post |
My midterm project is on gender classifier. This covers.
- EDA/Feature importance
- Model selection (Logistics, NN, Random Forest)
- Hyperparameter tuning
- Feature elimination
- Metrics
- Create service with BentoML and FastAPI
- Deploy to the cloud