Machine Learning Scientist

Curriculum

1. 1Math Foundation for ML
2. 2Linear Algebra and Feature Selection
3. 3Machine Learning in Python
4. 4The Machine Learning Process A-Z
5. 5The Machine Learning Algorithms A-Z
6. 6ML with Naive Bayes
7. 7ML with K-Nearest Neighbors
8. 8ML with Decision Trees and Random Forests
9. 9ML with Support Vector Machines
10. 10ML with Ridge and Lasso Regression