This repo hosts the solutions of the excersises of the Machine Learning course of Data Talks Club:
- Session 1 : Introduction to Machine Learning
- Session 2: Machine Learning for Regression
- Session 3: Machine Learning for Classification
- Session 4: Evaluation Metrics for Classification
- Session 5: Deploying Machine Learning Models
- Session 6: Decision Trees and Ensemble Learning
- Session 7: Midterm Project
- Session 8: Neural Networks and Deep Learning
- Session 9: Serverless Deep Learning
- Session 10: Kubernetes and TensorFlow-Serving
- Session 11: Kubeflow and KFServing
- Session 12: Capstone Project
- Session 13: Article
- Session 14: Third Project
More info here: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp