Apply Neural Networks for Car Price Prediction

By the end of this course, learners will be able to analyze structured datasets, prepare features for machine learning, build and evaluate neural network regression models, and apply regularization techniques to improve predictive performance. They will gain hands-on experience transforming raw car pricing data into actionable insights using industry-standard Python libraries and neural network workflows. This course guides learners through a complete, real-world project focused on car price prediction, moving step by step from data acquisition and exploratory data analysis to model training,…