Analytics in Practice… Developing Machine Learning Model using SVM in R to solve A Business Problem 25 Apr 202026 Apr 2020 Introduction Classifying data is a common task in machine learning. Suppose some given data points each belong to one of two classes, and the goal is to decide which class a new data point will…
Analytics in Practice… Hierarchical Clustering from scratch in R 19 Apr 202019 Apr 2020 As discussed in the earlier blog, clustering is grouping of similar objects into a clusters, such that objects in a cluster are similar to each other whereas objects in other…
Analytics in Practice… K-Means Clustering from scratch with hands on example in R 12 Apr 202012 Apr 2020 Unsupervised Learning, as clearly defined through its name, uses no classification or labelled information as input to the algorithm. In stark contrast to supervised learning, the machine learns all by…
data science… Naïve bayes classifier from scratch with hands on examples in r 4 Apr 202018 Dec 2023 Naïve Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong independence assumptions between the features. In this post you will learn about What…