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Machine Learning Models: Supervised Learning: Involves a series of function that map's an to an output based on a series of example input-output pairs. Eg: We have 2 variables Age(Input) and Shoe size(Output) we can predict shoe size of people ac...
Machine Learning: Machine learning is turning things (data) into numbers and finding patterns in those numbers. We can use ML for literally anything as long as you can convert it into numbers and program it to find patterns. Literally, it could be an...
2. Classification Model: Trained on the training dataset and based on that training, it categorizes the data into different classes. Example: The best example to understand the Classification problem is Email Spam Detection. The model is trained on ...
