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 learn how to interpret another very important measure called F-Statistic which is thrown out to us in the summary of regression model by R.
Continue reading “R Tutorial : How to interpret F Statistic in Regression Models”
This tutorial talks about interpretation of the most fundamental measure reported for models which is R Squared and Adjusted R Squared. We will try to give a clear guidelines for interpreting R Squared and Adjusted R Squared
Continue reading “R Tutorial : Interpretation of R Squared and Adjusted R Squared in Regression”
In this tutorial we will discuss about effectively using diagnostic plots for regression models using R and how can we correct the model by looking at the diagnostic plots.
Continue reading “R Tutorial : How to use Diagnostic Plots for Regression Models”
In this tutorial we will learn a very important aspect of analyzing regression i.e. Residual Analysis. Residual Analysis is a very important tool used by Data Science experts , knowing which will turn you into an amateur to a pro.
Continue reading “R Tutorial : Residual Analysis for Regression”
This tutorial goes one step ahead from 2 variable regression to another type of regression which is Multiple Linear Regression. We will go through multiple linear regression using an example in R
