Essentials of Machine Learning Algorithms (with Python and R Codes) – Part 10

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Gradient Boosting & AdaBoost

GBM & AdaBoost are boosting algorithms used when we deal with plenty of data to make a prediction with high prediction power. Boosting is an ensemble learning algorithm which combines the prediction of s…

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Essentials of Machine Learning Algorithms (with Python and R Codes) – Part 9

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Dimensionality Reduction Algorithms

In the last 4-5 years, there has been an exponential increase in data capturing at every possible stages. Corporates/ Government Agencies/ Research organisations are not only coming with new sourc…

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Essentials of Machine Learning Algorithms (with Python and R Codes) – Part 7

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K-Means

It is a type of unsupervised algorithm which solves the clustering problem. Its procedure follows a simple and easy way to classify a given data set through a certain number of clusters (assume k clusters). Data points in…

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Essentials of Machine Learning Algorithms (with Python and R Codes) – Part 8

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Random Forest

Random Forest is a trademark term for an ensemble of decision trees. In Random Forest, we’ve collection of decision trees (so known as “Forest”). To classify a new object based on attributes, each tree gives a classifi…

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Essentials of Machine Learning Algorithms (with Python and R Codes) – Part 6

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KNN (K- Nearest Neighbors)

It can be used for both classification and regression problems. However, it is more widely used in classification problems in the industry. K nearest neighbors is a simple algorithm that stores all availab…

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