Part 2: Train & Evaluate Regression Models in Python | Choose the Best ML Model.
Автор: DataCraft with Ram
Загружено: 2025-04-18
Просмотров: 111
Описание:
🎓 Part 2 of Our Machine Learning Series!
In this episode, we dive into Regression Models — training, prediction, evaluation, and selecting the best model using real-world metrics. If you’re building your first ML project, this is your next big step! 🚀
🧠 What you'll learn in Part 2:
1. How to train multiple regression models using Python & scikit-learn
2. Make predictions on real datasets
3. Evaluate using R² Score, MAE, RMSE
4. Choose the best-performing model for your use case
📍 This is part of a full end-to-end ML project series. Watch the full playlist for complete understanding!
💻 Tools Used: Python, scikit-learn, pandas, matplotlib,Numpy
🎯 Problem Type: Supervised Learning – Regression
▶️ Watch EDA : • EDA
▶️ Watch Part 1 Data Preprocessing: • End-to-End Machine Learning Project | Part...
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