encode_dataset.py

import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler, LabelEncoder

df = pd.read_csv('data.csv')
df = df.fillna(0)

for (_col, _dtype) in zip(df.columns, df.dtypes):
    _dtype_as_str = str(_dtype)
    if 'int' in _dtype_as_str or 'float' in _dtype_as_str:
        df[_col] = df[_col].astype('float32')
        df[_col] = StandardScaler().fit_transform(df[_col])
    else:
        df[_col] = LabelEncoder().fit_transform(df[_col])

df.to_csv("processed_data.csv")