Channel: Learn By Watch

Category: Education

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Description: Algorithms are the key factor used to train the ML models. The data feed into this that helps the model to learn from and predict with accurate results. Hence, choosing the right algorithm is important to ensure the performance of your machine learning model. In this video you will learn about these topics: ● Overfitting and underfitting - Explained how sometimes training our models can lead to underfitting or overfitting and how it can affect our prediction ● Regularisation - The regularisation parameter was introduced to remove the problem of overfitting. Using this the formula of cost and gradient descent functions were updated for both linear and logistic regression. ● Types of gradient descent in terms of the batch size - Batch / Mini - batch and stochastic gradient descent and in what scenarios they are useful.