Car Sales Prediction using Machine Learning
Course Description
Predict Car Buying Power with Artificial Neural Networks
In this beginner-friendly machine learning project, you'll learn how to build an end-to-end predictive model using Artificial Neural Networks (ANNs). The goal: estimate how much a customer is likely to spend on a car based on their personal and demographic details, such as age, income, education, and profession.
This hands-on tutorial walks you through the full machine learning pipeline:
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Cleaning and preprocessing real-world-like structured data
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Designing and training a neural network using Python and TensorFlow/Keras
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Evaluating your model’s performance using relevant metrics
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Understanding the impact of different features on purchasing behavior
Whether you're exploring machine learning for the first time or want a practical project for your resume or portfolio, this session gives you a clear understanding of how AI can turn raw data into powerful business insights.
No prior experience with neural networks required—just basic Python and a willingness to learn.

Lekhanksh Bondade
Data Science TrainerExperienced Data Science Trainer specializing in Computer Vision, NLP, and Machine Learning. Expert in real-time project implementation and adept at project management, delivering impactful training and solutions in cutting-edge technologies.