PCA- Principal Component Analysis -Machine Learning, is an statistical techniques for analysis in machine learning. It is an unsupervised learning method that uses orthogonal transformations to find correlations between the…

# Category: Machine Learning

SVM: Support Vector Machine is a highly used method for classification. It can be used to classify both linear as well as non linear data.SVM was originally created for binary…

Predictive analytics is a collection of a various statistical techniques. It is related to topics such as data modeling, data mining as well as machine learning. It is used to…

Linear Regression is one of the most basic techniques of predictive analytics in machine learning and statistical mathematics. It is based on the basic statistical technique of finding relationships between…

A roadmap must be followed to produce a well functioning Machine Learning model. The strength of the algorithm determines the results it will gauge. Machine learning can be classified into…