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Blakelobato
Blakelobato

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Oct 25, 2020

K-Nearest Neighbor Classifier — Implement Homemade Class & Compare with Sklearn Import

What is K-Nearest Neighbors? K-Nearest Neighbors is an algorithm used in classification and regression problems; however, this example application uses the algorithm as a classifier. K-nn is a form supervised learning where classification outputs are class membership and is considered lazy learning. This object in question is assigned a class…

K Nearest Neighbors

3 min read

K-Nearest Neighbor Classifier — Implement Homemade Class & Compare with Sklearn Import
K-Nearest Neighbor Classifier — Implement Homemade Class & Compare with Sklearn Import
K Nearest Neighbors

3 min read


Published in The Startup

·Jan 10, 2020

Predicting Asteroid’s Diameter Using Machine Learning

~ Motivation ~ “If Earth gets hit by an asteroid, it’s game over. It’s control-alt-delete for civilization” — Bill Nye the Science Guy The inspiration for this project came from a Kaggle competition on predicting asteroid diameter size. You can find the link and more information here. There has been some extensive research…

Machine Learning

8 min read

Predicting Asteroid’s Diameter Using Machine Learning
Predicting Asteroid’s Diameter Using Machine Learning
Machine Learning

8 min read

Blakelobato

Blakelobato

5 Followers

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