Machine Learning Tutorial

Regression Analysis in Machine learning Regression analysis is a statistical method to model the relationship between a dependent (target) and independent (predictor)…

Support Vector Machine Algorithm Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for…

Principal Component Analysis Principal Component Analysis is an unsupervised learning algorithm that is used for the dimensionality reduction in machine learning. It…

Regression vs. Classification in Machine Learning Regression and Classification algorithms are Supervised Learning algorithms. Both the algorithms are used for prediction in…

Machine Learning Techniques Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals:…

Probability and Statistics Books for Machine Learning Probability and statistics both are the most important concepts for Machine Learning. Probability is about…

Regularization in Machine Learning What is Regularization? Regularization is one of the most important concepts of machine learning. It is a technique…

Simple Linear Regression in Machine Learning Simple Linear Regression is a type of Regression algorithms that models the relationship between a dependent…

Risks of Machine Learning Machine Learning is one of the most trending technologies for IT professionals as well as business tycoons. Almost…

Difference between Machine Learning and Deep Learning Machine Learning and Deep Learning are the two main concepts of Data Science and the…