AI, Machine Learning, Data, Data Visualization.
ohe.get_feature_names_out() #combine numeric and categories X_final = pd.concat([numeric_df, categoric_df], axis = 1) Step 3: Model training Once the data is prepared we will use “RandomForestClassifier” to train the model on the final data. the model will be used for inference using Flask API.