Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
data into training and testing sets, we can then apply pre-processing techniques like the Standard Scaler to ensure our data is properly scaled and ready for analysis. def scaling(df): X = df.iloc[:, 0:192].values y = df.iloc[:, 192].values X_train, X_test, y_train, y_test = train_test_split( X, y,