Introduction
  • Installing Jupyter
  • How to download Python files
Course Contents
  • import `datasets` from scikit-learn
  • import the train_test_split function
  • import the `RandomForestClassifier` class
  • import two functions, `accuracy_score` and `confusion_matrix`
  • importing `pyplot`
  • import seaborn
  • loads the Breast Cancer dataset
  • split the dataset into training and testing sets
  • creating an instance of the `RandomForestClassifier` class
  • training a Random Forest classifier
  • ready to make predictions
  • calculating the accuracy of the classifier's predictions
  • valuate the performance of a classification model
  • creating a heatmap plot
  • the feature importances
  • obtain the indices in descending order
  • creating a bar chart