Key Terms and Concepts in Machine Learning | Explained

In this video, I explain some of the key terms and concepts in Machine Learning, like Models, Training, Features, Labels, and Dataset. I also cover important topics like Evaluation Metrics and how to avoid Overfitting and Underfitting. Whether you're new to ML or just need a quick refresher, this video will help you understand the basics. Don’t forget to like, subscribe, and hit the bell for more videos! Telegram for Latest updates and Job News: https://t.me/anup_ai Linkedin: / anup2328 What are models what is training what are underfitting / overfitting What are evaluation metrics key terms in machine learning what are features what are labels