| import pandas as pd | |
| from sklearn.preprocessing import MinMaxScaler | |
| def csv_to_featuers_list(csv_file): | |
| if csv_file == None: | |
| return ['No csv yet'] | |
| df = pd.read_csv(csv_file) | |
| return df.columns | |
| def pre_process_df(df): | |
| df.dropna(inplace=True) | |
| df.drop_duplicates(inplace=True) | |
| df.reset_index(inplace=True, drop=True) | |
| return df | |
| def pre_process_features(X): | |
| scaler = MinMaxScaler() | |
| X = scaler.fit_transform(X) | |
| return X |