Publications by Tinniam V Ganesh
Analysis of International T20 matches with yorkr templates
Introduction In this post I create yorkr templates for International T20 matches that are available on Cricsheet. With these templates you can convert all T20 data which is in yaml format to R dataframes. Further I create data and the necessary templates for analyzing. All of these templates can be accessed from Github at yorkrT20Template. The t...
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Analysis of IPL T20 matches with yorkr templates
Introduction In this post I create RMarkdown templates for end-to-end analysis of IPL T20 matches, that are available on Cricsheet based on my R package yorkr. With these templates you can convert all IPL data which is in yaml format to R dataframes. Further I create data and the necessary templates for analyzing IPL matches, teams and players...
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cricketr flexes new muscles: The final analysis
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 the host country, is a ‘real test�...
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My 3 video presentations on “Essential R”
In this post I include my 3 video presentations on the topic “Essential R”. In these 3 presentations I cover the entire landscape of R. I cover the following R Language – The essentials Key R Packages (dplyr, lubridate, ggplot2, etc.) How to create R Markdown and share reports A look at Shiny apps How to create a simple R package Essent...
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More book, more cricket! 2nd edition of my books now on Amazon
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 analytics with yorkr(2nd edition) Pick up...
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R vs Python: Different similarities and similar differences
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 learning R or Python is subjective. I have heard that R ha...
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My travels through the realms of Data Science, Machine Learning, Deep Learning and (AI)
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. On First Looking into Chapman’s Homer by John Keats The above excerpt from John Keat’s...
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Using Linear Programming (LP) for optimizing bowling change or batting lineup in T20 cricket
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 have come to the realization that there are many facets to d...
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Practical Machine Learning with R and Python – Part 1
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 implementation in both ...
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Practical Machine Learning with R and Python – Part 2
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 -K Nearest Neighbors (KNN) cla...
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