January 25, 2017 Model tuning of Xgboost

Xgboost :Model tuning in Crossvalidation using caret in R

Introduction Here will discuss about the Xgboost model parameter’s tuning using caret package in R.Let’s begin.Open your R console and follow along. To Get Certified for Best Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=GREAT_CODE Importing libraries Importing the library mlbench for sonar dataset and caret […]

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January 20, 2017 AIC and deviance

Deviance and AIC for Logistic Regression in R

Introduction This is for you,if you are looking for Deviance,AIC,Degree of Freedom,interpretation of p-value,coefficient estimates,odds ratio,logit score and how to find the final probability from logit score in logistic regression in R. Course for Beginners: https://www.udemy.com/machine-learning-using-r/?couponCode=GREAT_CODE Importing libraries & Reading Data Importing the required libraries.MASS is used for importing birthwt dataset library(MASS) #### Storing the […]

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January 16, 2017 Cross-validation in R

Avoid Over fitting & start crossvalidation

Introduction If you want to learn what is K-fold cross-validation and how is it done in R,then please follow along.Open your RStudio and have fun!! Course for Beginners: https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 What is Cross-validation A model is usually given a known data set(training data set) on which training is done and unknown dataset(testing data set) against which […]

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December 28, 2016 What are Classification Algorithms?

What are Classification Algorithms?

Wants to know about Classification Models for Machine Learning and Data Analytics? Classification is the problem of identifying the category out of many catergoies given to which a new observation belongs on the basis of a data containing observations. It is a supervised machine learning where a training set of correctly identified observations is available. […]

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