Скачать или смотреть Car Sales Prediction Using ANN End-to-End Machine Learning Project with Python & TensorFlow

0:00 How to approach this video ?
0:44 How to clean and Load a real-world dataset ?
3:25 How to Preprocess the data and why to do it ?
5:00 How to drop outliers using IQR method ?
6:26 How to visualize and remove outliers ?
9:05 How to normalize the features ?
11:28 How to train and evaluate the ANN model on car sales data ?
15:57 How to make predictions using new data?

Car Sales Prediction Using Artificial Neural Network (ANN) - Full Project Explained

In this video, we walk through a complete end-to-end machine learning project to predict car purchase amounts using Artificial Neural Networks (ANN) with Python, TensorFlow. Ideal for data science and AI beginners, this video covers:

1. Dataset analysis & preprocessing
2. Feature encoding & normalization
3. Building and training an ANN model
4.Model evaluation (MAE, RMSE, R²)
5. Predicting new customer car purchase amounts

Perfect for those learning machine learning, deep learning, or data science with real-world projects!

Project GitHub Repo:
https://github.com/maheedhargowd/Cars...

Technologies Used:
Python, Pandas, TensorFlow, Sklearn, Google Colab

Dataset: Car purchasing data

Model: Trained ANN using MinMaxScaler and ReLU activation

Watch till the end to see how to predict car purchase amounts for 100 new customers!


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