filmov
tv
Introduction to kNN: k Nearest Neighbors Classification and Regression in Python Using scikit-learn
Показать описание
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.
Connect with Me
Check out my Startup Daysier
website:
*** Disclaimer *** Some of the links are affiliate links meaning that if you make a purchase using the link, I earn a small commission with no extra charge to you. If you do decide to use one of these links then thank you for you support. ******
machine learning,nearest neighbors,k nearest neighbors,knn algorithm,scikit learn,k-nearest neighbors algorithm,knn algorithm example in python,how to implement knn algorithm in python,k-nearest neighbor classification algorithm,machine learning tutorial,machine learning basics,machine learning python,cross validation,knn regression,knn regression python,knn classification python,sklearn,knn sklearn,knn scikit learn,cbr knn,case-based reasoning,cbr, sklearn tutorial, machine learning basics for beginners.
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.
Connect with Me
Check out my Startup Daysier
website:
*** Disclaimer *** Some of the links are affiliate links meaning that if you make a purchase using the link, I earn a small commission with no extra charge to you. If you do decide to use one of these links then thank you for you support. ******
machine learning,nearest neighbors,k nearest neighbors,knn algorithm,scikit learn,k-nearest neighbors algorithm,knn algorithm example in python,how to implement knn algorithm in python,k-nearest neighbor classification algorithm,machine learning tutorial,machine learning basics,machine learning python,cross validation,knn regression,knn regression python,knn classification python,sklearn,knn sklearn,knn scikit learn,cbr knn,case-based reasoning,cbr, sklearn tutorial, machine learning basics for beginners.
Комментарии