Definition, implementation and pros and cons of decision tree models.

Some types of plots and how can they be helpful for machine learning tasks, such as feature selection.

Including methods implemented during EDA and data lacking.

Different data types in ML.

Mathematics in machine learning~

Evaluate a model and decide what to do next.

Notions about gradient descent.

logistic regression model~

linear regression model~