Articles by Tinniam V Ganesh

Practical Machine Learning with R and Python – Part 6

November 21, 2017 | Tinniam V Ganesh

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 ...
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Practical Machine Learning with R and Python – Part 5

November 6, 2017 | Tinniam V Ganesh

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 ...
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Practical Machine Learning with R and Python – Part 3

October 20, 2017 | Tinniam V Ganesh

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 ...
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Practical Machine Learning with R and Python – Part 2

October 12, 2017 | Tinniam V Ganesh

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 ...
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Practical Machine Learning with R and Python – Part 1

October 6, 2017 | Tinniam V Ganesh

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 ...
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My 3 video presentations on “Essential R”

March 17, 2017 | Tinniam V Ganesh

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 ... [Read more...]

cricketr flexes new muscles: The final analysis

March 11, 2017 | Tinniam V Ganesh

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 ...
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Analysis of IPL T20 matches with yorkr templates

March 2, 2017 | Tinniam V Ganesh

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 ... [Read more...]
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