Decision Tree is a type of Supervised Learning Algorithm wherein the data is continuously split on the basis of certain parameters. To understand the decision tree in a better way let’s take an example
Continue readingRegression is basically a statistical approach of finding a relationship between the variables. Linear regression is one type of regression we use in Machine Learning.
Continue readingEvery ML project starts with knowing what your data is all about.You should analyze and understand your data and should think of what Algorithms we should choose.
Continue readingWe will be taking an example of a classification problem with the help of KNearestNeighbors in Scikit-Learn.
Continue readingIn machine learning, Classification is a supervised learning approach in which the computer program learns from the data input given to it and then classify it.
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