why regression has infinitely many possible outcomes

Hi, @Muhammad_Asif2 Do you mean Linear Regression?

Hi @Muhammad_Asif2 when we evaluate a regression problem, we can take any possible numerical outcome, let’s say you want to predict the price of a house in this case the possible price of the house can be between 0 to infinite, however we can also assume that they are infinite given the nature of th…

Thanks , this answer is very helpful for me .

Hi there, I suggest you take a look at the course content again since the underlying concepts are explained really well. And they are important to understand since several future concepts will build upon these basics. A cost function provides a metric you can use to improve your optimization. When…

can you explain classification problems?

can you explain classification problems in supervised learning?

Hi there, if you have categorical data which you can use as labels: then you can formulate a classification problem and use supervised learning: supervised learning means you provide examples / observations via labelled data to the algorithm so that the model can learn the classification „border“ …

Supervised learning

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification

Muhammad_Asif2 November 4, 2022, 8:03pm 6

Can you explain cost function and gradient descent

Gradient Descent for multiple feature linear regression

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Supervised learning

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