Topics
Machine Learning with Scikit-learn
Supervised, Unsupervised, Reinforcement Learning
Classification vs. Regression
Bias vs. Variance, Cross Validation
Dimensionality Reduction, One Hot Encoding
Regularization: Lasso, Ridge, Elastic Net
Error Metrics: MAE, RMSE, Accuracy, Precision, Recall
Linear and Polynomial Regression
Logistic Regression
K-Nearest Neighbors
Decision Trees
Random Forest
Support Vector Machines
Unsupervised Learning
K-means Clustering
Other Trainings
Python
1 Training Set
