Hrishav kumarNeural Networks in Machine LearningThe concept of neural networks have been around for decades, but it’s only in the last several years that the computing power has caught…Jan 2, 2019Jan 2, 2019
Hrishav kumarNaive Bayes in Machine LearningThe Naive Bayes Algorithm is a machine learning algorithm for classification problems. Naive Bayes model is easy to build and particularly…Dec 29, 20181Dec 29, 20181
Hrishav kumarK-Means ClusteringK-means is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. The procedure follows a…Dec 28, 2018Dec 28, 2018
Hrishav kumarClustering AlgorithmsClustering is a process which partitions a given data set into homogeneous groups based on given features such that similar objects are…Dec 26, 2018Dec 26, 2018
Hrishav kumarDecision TreesDecision Trees are a type of Supervised Machine Learning (that is you explain what the input is and what the corresponding output is in…Dec 25, 2018Dec 25, 2018
Hrishav kumarLogistic RegressionConsider a scenario where we need to classify whether an email is spam or not. If we use linear regression for this problem, there is a…Dec 24, 2018Dec 24, 2018
Hrishav kumarLinear and Polynomial RegressionRegression is a method of estimating a relationship from given data to depict nature of data set. This relationship can then be used for…Dec 23, 20181Dec 23, 20181
Hrishav kumarMachine Learning Project WorkflowWorkflow refers to the roadmap one may draw first for any kind of project and then follows it in order to avoid any pitfalls or deadends…Dec 22, 2018Dec 22, 2018
Hrishav kumarMachine LearningMachine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has…Dec 22, 2018Dec 22, 2018
