Gradient Descent – Gradients Brew

Gradient Descent – Gradients Brew

Gradient Descent is the backbone of any neural network. In this post, we will explore Gradient descent and some of its variants.

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Introduction to Classification Problems in Machine Learning

Introduction to Classification Problems in Machine Learning

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”

Tutorial : Beginner to advanced machine learning  in 15 hour Videos

Tutorial : Beginner to advanced machine learning in 15 hour Videos

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”

R Tutorial : How to interpret F Statistic in Regression Models

R Tutorial : How to interpret F Statistic in Regression Models

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.

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R Tutorial : Interpretation of R Squared and Adjusted R Squared in Regression

R Tutorial : Interpretation of R Squared and Adjusted R Squared in Regression

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

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R Tutorial : How to use Diagnostic Plots for Regression Models

R Tutorial : How to use Diagnostic Plots for Regression Models

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.

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R Tutorial : Residual Analysis for Regression

R Tutorial : Residual Analysis for Regression

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.
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R Tutorial : Multiple Linear Regression

R Tutorial : Multiple Linear 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

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R Tutorial : Basic 2 variable Linear Regression

R Tutorial : Basic 2 variable Linear Regression

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.

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Tutorial : Linear Regression Construct

Tutorial : Linear Regression Construct

In  this tutorial we will discuss about structure of Linear regression and how a Linear regression Equation is constructed for 2 variable model.

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