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Practical Machine Learning with R and Python – Part 2

October 12, 2017
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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 … Continue reading Practical...

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Practical Machine Learning with R and Python – Part 1

October 6, 2017
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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 R and … Continue reading Practical...

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Using Linear Programming (LP) for optimizing bowling change or batting lineup in T20 cricket

September 28, 2017
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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 … Continue reading Using...

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My travels through the realms of Data Science, Machine Learning, Deep Learning and (AI)

September 11, 2017
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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 … Continue reading My...

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R vs Python: Different similarities and similar differences

May 22, 2017
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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 … Continue reading R...

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More book, more cricket! 2nd edition of my books now on Amazon

March 25, 2017
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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) … Continue reading More...

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My 3 video presentations on “Essential R”

March 17, 2017
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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 … Continue reading My...

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cricketr flexes new muscles: The final analysis

March 11, 2017
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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 … Continue reading cricketr...

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Analysis of IPL T20 matches with yorkr templates

March 2, 2017
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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 … Continue reading Analysis...

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Analysis of International T20 matches with yorkr templates

February 25, 2017
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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 … Continue reading Analysis...

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