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Integration:  git github
Emmanuel 159e444c4c
feature: add pdf article about 'Ensemble methods'
2 years ago
a5e6732c85
refactor: add more instructions to the AWS-deploy file
2 years ago
57304014db
refactor: add more details to reproduce Kubernetes local deployement
2 years ago
159e444c4c
feature: add pdf article about 'Ensemble methods'
2 years ago
052dbab80d
refactor: little fix in the Dockerfile comments
2 years ago
10be64834d
feature: add Week4 notebook and dataset
2 years ago
2d7f153b10
refactor: set shuffle=True for both train and valid generators
2 years ago
0c1bf146f5
refactor: add new sections to the README
2 years ago
87ccbb3143
feature: add Week1 notebook and dataset
2 years ago
9b5f89be82
refactor: fix small typo
2 years ago
494c9c5d81
feature: add Week3 notebook -- based on Week2 dataset
2 years ago
10be64834d
feature: add Week4 notebook and dataset
2 years ago
a6bff96f96
feature: add Week6 notebook and dataset
2 years ago
Storage Buckets

README.md

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ML_bootcamp

https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp

Week 1. Introduction to Machine Learning

Week 2. Machine Learning for Regression

Week 3. Machine Learning for Classification

Week 4. Evaluation Metrics for Classification

Week 5. Deploying Machine Learning Models

Week 6. Decision Trees, Random Forests, XGBoost

Week 7. Home-Work Project

Week 8. Convolutional Neural Networks, Transfer Learning, Deep Learning

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