how to train a model in machine learning

Top TEN Concepts of AI and ML. If you are new to AI and ML or if you are a student learning ML or planning to attend the job interviews on AI or if you are planning to build your career in the field of AI and ML then these videos from part 1 to part5 will be helpful. This video contains terms used while building and evaluating Machine Learning models: What is feature engineering? What are hyperparameters? How to tune hyperparameter? How to train a model in machine learning? How to avoid bias and variance, underfitting and overfitting? What is Gradient Descent? what is confusion Matrix? TypeI and TypeII errors. 00:00 Intro 00:30 what is machine learning? 02:30 Feature Engineering 06:55 Hyperparameters 09:35 AI model training 18:17 Hyperparameter tuning 24:07 Gradient Descent ML algorithms Basics for Beginners: https://youtu.be/2iyXUaUwm70 What is AI? What is ML? 7 Types of AIs. https://youtu.be/6tiPmRk3iZM