Car Price Prediction in Python Part 4 - Splitting Data for Training and Testing

In this video, we continue building our Car Price Prediction Machine Learning project using Python and Scikit-Learn.

In Part 4, we split the dataset into training and testing data. This is one of the most important steps in machine learning because it helps us evaluate how well the model performs on unseen data.

In this video you will learn:

• What training data and testing data mean
• Why datasets are split before training a model
• How to use train_test_split in Scikit-Learn
• Understanding test_size and random_state
• How machine learning models are evaluated fairly
• Preparing data for model training

Technologies used:

• Python
• Pandas
• Scikit-Learn
• Jupyter Notebook / Google Colab

This series focuses on practical machine learning projects where we build real world AI applications step by step.

#MachineLearning #Python #AI #DataScience #ScikitLearn #MachineLearningProjects #PythonProgramming #LearnAI #ArtificialIntelligence #CarPricePrediction

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Видео Car Price Prediction in Python Part 4 - Splitting Data for Training and Testing канала azamsharp