Tutorials for Data Science , Machine Learning, AI & Big Data
Tutorials for Data Science , Machine Learning, AI & Big Data – Analytics
In this tutorial we will talk in brief about a class of Machine learning problems – Classification Problems. We will try to establish the concept of classification and why they are so important. Continue reading “Introduction to Classification Problems in Machine Learning”
This tutorial is a set of 15 hour videos by acclaimed experts in the area of machine learning and statistics from Stanford. It is suitable for Beginners as well as experts Continue reading “Tutorial : Beginner to advanced machine learning in 15 hour Videos”
In this tutorial we will try our hands on a very basic 2 variable linear regression using R. We will also learn how to interpret output given by R and tryout various visualizations required for interpreting simple Linear regression.
Continue reading “R Tutorial : Basic 2 variable Linear Regression”
In this tutorial we will discuss about structure of Linear regression and how a Linear regression Equation is constructed for 2 variable model.
This Tutorial talks about basics of Linear regression by discussing in depth about the concept of Linearity and Which type of linearity is desirable.
Continue reading “Tutorial : Concept of Linearity in Linear Regression”
This tutorial talks about the importance of Testing set and Validation sets for predictive analytic algorithms and different techniques which can be wisely used to get a reliable measure of accuracy.
Continue reading “Machine Learning : Training Set – Validation Set – Test Set”
Tutorials for Data Science , Machine Learning, AI & Big Data 