Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.
Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.
Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.
Introduces Python programming basics, covering variables, methods, conditions, loops, and boolean logic.
