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Linear Regression using Gradient Decent

Linear regression Linear regression is a supervised learning algorithm and tries to learn a linear function from a given data set D={(xi, yi)} where i=1, 2, 3, 4,———–N where xi is feature vector and yi is target output. In other words, you will try to find out relationship between xi and yi. Suppose you want to […]

K-Nearest Neighbors Algorithm in Python

Leave a Comment / Machine Learning, Python / Bindeshwar S. Kushwaha

K-nearest neighbors algorithm is a machine learning algorithm which is used for classification and regression, and it can be applied where other machine learning algorithms are applied. See the typical problem setting , Suppose (x1, y1), (x2, y2), (x3, y3), ……………….(xn, yn) pairs in which x’s are attributes and y’s are labels, suppose another instance

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Machine Learning

Linear Regression using Gradient Decent

K-Nearest Neighbors Algorithm in Python

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