Some code scripts I have been working on using R:

FunWithR

1_kNN
Folder contains some exploritary work using kNN classification for Cancer data link
2_NP
Folder contains a study on using Naive Bayed for SMS classification link
3_DT
Folder contains a study on using Decision Trees for default prediction on data from a bank link
4_RL Folder contains a study using Rule LEarners (R1 and JRip) to classify mushrooms link
5_Regression Folder contains a study using Linear Regression to predict medical expenses link
6_CART_ModelTrees using CART and model trees to estimate quality of wine link
7_

All studies use caret library for tuning using ROC

UsefullLibraries: lists the libraries that I have encountered and deemed useful. Sort of a bookmark link
Scrapping_NHL.R: Designed to scrap data from NHL website for minutes played by each player of the team for that game. Please see comments in the source file.
CalculateNHLBands.Rmd: A short example on how to calculate the acceleration bands from a 5-column csv file. After finding the average acceleration, we calcualte the Standard deviation, and then make thresholds (band) using 0.5, 1.0, and 1.5 times the standard deviation.

Name		Name	Last commit message	Last commit date
Latest commit History 130 Commits
10_kMeans		10_kMeans
11_Scraping		11_Scraping
12_NetworkAnalysis		12_NetworkAnalysis
1_kNN		1_kNN
2_NB		2_NB
2_NB_files		2_NB_files
3_DT		3_DT
4_RL		4_RL
5_Regression		5_Regression
6_CART_ModelTrees		6_CART_ModelTrees
7_ANN		7_ANN
8_SVM		8_SVM
9_AR		9_AR
Resources		Resources
CalculateNHLBands.Rmd		CalculateNHLBands.Rmd
CalculateNHLBands.nb.html		CalculateNHLBands.nb.html
ClustetingWithKmeans_SocialNetwork.Rmd		ClustetingWithKmeans_SocialNetwork.Rmd
ClustetingWithKmeans_SocialNetwork.md		ClustetingWithKmeans_SocialNetwork.md
ClustetingWithKmeans_SocialNetwork.nb.html		ClustetingWithKmeans_SocialNetwork.nb.html
DrunkenMan.R		DrunkenMan.R
README.html		README.html
README.md		README.md
Scrapping_NHL.R		Scrapping_NHL.R