🚗 Predicting Car Purchase Amounts with Neural Networks in Keras (with Code & Dataset) | by Smruti Ranjan Nayak | Jul, 2025

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Have you ever ever puzzled how automotive dealerships predict buyer spending? On this submit, we’ll stroll by constructing a easy neural community utilizing TensorFlow/Keras to foretell automotive buy quantities based mostly on buyer demographics and monetary information.

We’ll use the Car Purchasing dataset from Kaggle and break down each step of the method.

1. Loading & cleansing the information
2. Visualizing the dataset
3. Preprocessing & scaling
4. Constructing a neural community mannequin
5. Coaching and evaluating the mannequin
6. Making predictions

First, let’s import all of the Python libraries we’ll want for this venture:

import pandas as py
from pandas import DataFrame
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
import tensorflow.keras
from keras.fashions import Sequential
from keras.layers import Dense, Enter
import numpy as np