Brain_stroke_classification

Matplotlib Graphic plot(), Groupby(), info(), duplicated(), isnull(), describe() -> for Data Analysis

get_dummies() -> for transform categorical variable to numeric

seaborn.heatmap() -> for plot dataset correlation

Manually separate data in Train Validation and Test

train models using 3 algorithms (LogisticRegression, KNeighborsClassifier, RandomForestClassifier)

sklearn MinMaxScaler -> to normalize the data

imblearn.over_sampling Smote -> to balance the data

sklearn.utils shuffle -> to shuffle the data

confusion_matrix, classification_report, precision_score, recall_score, f1_score, accuracy_score -> for evaluation metrics