Machine Learning with Python

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