Part -02 | Understanding Regression and Classification in Machine Learning

Welcome to Part 02 of our comprehensive Machine Learning series! In this video, we dive deep into two fundamental concepts: Regression and Classification.
What You'll Learn:
Regression: Understand how regression algorithms predict continuous outcomes. We'll cover linear regression, polynomial regression, and more advanced techniques.
Classification: Explore how classification algorithms categorize data into distinct classes. Learn about logistic regression, decision trees, and other popular classifiers.
Real-world Examples: See practical implementations of regression and classification models using real-world datasets.
Hands-on Coding: Follow along with Python code examples to build and evaluate your own regression and classification models.
Whether you're a beginner just starting out or an experienced practitioner looking to brush up on your skills, this video has something for everyone. Don't forget to like, share, and subscribe for more in-depth tutorials on machine learning and data science!

[@SouravKumarSingh-cg7kj]

Thanks bro for understanding so well❤❤❤❤❤

[@datascience8012]

Thanks

[@shyamsarkar3317]

@@datascience8012 can you provide notes link?