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# ml-boost

# Week 1: 
* Study W1 and W2 from [Supervised Machine Learning: Regression and Classification](https://www.coursera.org/learn/machine-learning/)

# Week 2:
* Study "Car Price Prdiction Project" from [ML Zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/02-regression)
* Study W3 from First Course [Supervised Machine Learning: Regression and Classification](https://www.coursera.org/learn/machine-learning/)
* Study "Customer Churn Pridction Project" from [ML Zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/03-classification)

# Week 3:
* Study W1 and W2 of [Advanced Learning Algorithms](https://www.coursera.org/learn/advanced-learning-algorithms/)

# Week 4:
* Study "Neural Networks and Deep Learning" from [ML Zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/08-deep-learning)

# Week 5:
* Study W3 of [Advanced Learning Algorithms](https://www.coursera.org/learn/advanced-learning-algorithms/)
* Study "Evaluation Metrics" from [ML Zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/04-evaluation)

# Week 6:
* Study W4 of [Advanced Learning Algorithms](https://www.coursera.org/learn/advanced-learning-algorithms/)
* Study "Decision Trees & XGBoost" & " Credit risk scoring project" from [ML Zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/06-trees)

# Week 7:
* Study W1 and W2 of [Unsupervised Learning, Recommenders, Reinforcement Learning](https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning)

# Week 8:
* Study W3 of [Unsupervised Learning, Recommenders, Reinforcement Learning](https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning)

ml-boost

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