“You don’t perceive objects as they are. You perceive them as you are.” “Your interpretation of physical objects has everything to do with the historical trajectory of your brain – and little to do with the objects themselves.” “The brain generates its own reality, even before it receives information coming ...

The 3rd  paperback edition of both my books on cricket is now available on Amazon for $12.99 a) Cricket analytics with cricketr, Third Edition ($12.99). This book is based on my R package ‘cricketr‘, available on CRAN and uses ESPN Cricinfo Statsguru b) Beaten by sheer pace! Cricket analytics with yorkr, 3rd ...

My book ‘Practical Machine Learning with R and Python – Machine Learning in stereo’ is now available in both paperback ($9.99) and kindle ($6.97/Rs449) versions. In this book I implement some of the most common, but important Machine Learning algorithms in R and equivalent Python code. This is almost like listening to ...

Introduction This is the final and concluding part of my series on ‘Practical Machine Learning with R and Python’. In this series I included the implementations of the most common Machine Learning algorithms in R and Python. The algorithms implemented were 1. Practical Machine Learning with R and Python – Part 1 In ...

This is the 5th and probably penultimate part of my series on ‘Practical Machine Learning with R and Python’. The earlier parts of this series included 1. Practical Machine Learning with R and Python – Part 1 In this initial post, I touch upon univariate, multivariate, polynomial regression and KNN regression in R ...

This is the 4th installment of my ‘Practical Machine Learning with R and Python’ series. In this part I discuss classification with Support Vector Machines (SVMs), using both a Linear and a Radial basis kernel, and Decision Trees. Further, a closer look is taken at some of the metrics associated ...

In this post ‘Practical Machine Learning with R and Python – Part 3’,  I discuss ‘Feature Selection’ methods. This post is a continuation of my 2 earlier posts Practical Machine Learning with R and Python – Part 1 Practical Machine Learning with R and Python – Part 2 While applying Machine Learning techniques, the data … Continue reading ...

In this 2nd part of the series “Practical Machine Learning with R and Python – Part 2”, I continue where I left off in my first post Practical Machine Learning with R and Python – Part 2. In this post I cover the some classification algorithmns and cross validation. Specifically I touch -Logistic Regression ...

Introduction This is the 1st part of a series of posts I intend to write on some common Machine Learning Algorithms in R and Python. In this first part I cover the following Machine Learning Algorithms Univariate Regression Multivariate Regression Polynomial Regression K Nearest Neighbors Regression The code includes the ...

In my recent post, My travels through the realms of Data Science, Machine Learning, Deep Learning and (AI), I had recounted my journey in the domains of of Data Science, Machine Learning (ML), and more recently Deep Learning (DL) all of which are useful while analyzing data. Of late, I ...

Then felt I like some watcher of the skies  When a new planet swims into his ken;  Or like stout Cortez when with eagle eyes  He star’d at the Pacific—and all his men  Look’d at each other with a wild surmise—  Silent, upon a peak in Darien.    ...

A debate about which language is better suited for Datascience, R or Python, can set off diehard fans of these languages into a tizzy. This post tries to look at some of the different similarities and similar differences between these languages. To a large extent the ease or difficulty in ...

The 2nd edition of both my books a) Cricket analytics with cricketr b) Beaten by sheer pace – Cricket analytics with yorkr is now available on Amazon, both as Paperback and Kindle versions. Pick up your copies today!!! A) Cricket analytics with cricketr: Second Edition B) Beaten by sheer pace: Cricket ...

Twas brillig, and the slithy toves Did gyre and gimble in the wabe: All mimsy were the borogoves, And the mome raths outgrabe. Jabberwocky by Lewis Carroll No analysis of cricket is complete, without determining how players would perform in the host country. Playing Test cricket on foreign pitches, in ...

My books – Cricket Analytics with cricketr – Beaten by sheer pace!: Cricket analytics with yorkr are now available on Amazon in both Paperback and Kindle versions The cricketr and yorkr packages are written in R, and both are available in CRAN. The books contain details on how to use these R ...

In this post I introduce ‘Inswinger’ an interactive Shiny app to analyze International T20 players, matches and teams. This app was a natural consequence to my earlier Shiny app ‘GooglyPlus’. Most of the structure for this app remained the same, I only had to work with a different dataset, so ...

In this post I introduce “GooglyPlus” another more evolved version of my earlier Shiny app “Googly”. My R package ‘yorkr’,  on which both these Shiny apps are based, has the ability to output either a dataframe or plot, depending on a parameter plot=TRUE or FALSE. My initial version of ...