Introduction to kNN: k Nearest Neighbors Classification and Regression in Python Using scikit-learn

PhD and Productivity
PhD and Productivity
17.5 هزار بار بازدید - 4 سال پیش - Introduction to kNN: k Nearest
Introduction to kNN: k Nearest Neighbors Classification and Regression in Python using sklearn with 10 fold cross validation

Hi there! I'm a Machine Learning PhD student based in Ireland. I am studying case-based reasoning and recommender systems techniques in sports science and marathon running. I mentioned how I actually use kNN a lot for implementing CBR since we can use the nearest neighbors as the cases retrieved from our case-base and use them to find a solution for our new case. This video provides a very basic introduction to k Nearest Neighbors which may not be too useful for people who are very familiar with machine learning. But a lot of people who watch my channel are not. I give examples of kNN classification and regression using sklearn, and I explain and use cross-validation. Next time I will be explaining how feature extraction and rigorous evaluation can be achieved for these types of algorithms. If you are interested, be sure to subscribe! I am posting 1-2 videos per week about ML/RecSys and the rest of my content is more general PhD.

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4 سال پیش در تاریخ 1399/02/15 منتشر شده است.
17,500 بـار بازدید شده
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