Self Improvement, Machine Learning Course, Machine Learning, Data Science, Programming.
nicely wrapped up with Decision Trees, RandomForests, and Gradient Boosted Trees. We were shown the methods of sampling and the pros and cons of each model. There is also a coding exercise that ties up what we learned in Week 1 and Week 2 which demonstrates the application and prediction accuracy