[Hindi] Model Parameters & Hyperparameters

Hi friends! In this video, we will discuss the concept of model parameters and hyperpararmeters. We will look at hyperparameter tuning, which is the process used to find optimal values for hyperparameters. Finally, we will discuss the full training pipeline for machine learning (ML), which includes splitting the data into training, validation and test sets, defining the function class, loss function, and optimization problem for the model parameters, finding the best values of model parameters and hyperparameters, using algebra/gradient descent and hyperparameter tuning, and evaluating the model on the test set.