Sanjay Sane sanjayssane

sanjayssane / stem_lemma_pos_nltk_example.py

Created September 5, 2018 15:43 — forked from bonzanini/stem_lemma_pos_nltk_example.py

Example of stemming, lemmatisation and POS-tagging in NLTK

	from nltk import pos_tag
	from nltk.tokenize import word_tokenize
	from nltk.stem import PorterStemmer, WordNetLemmatizer

	stemmer = PorterStemmer()
	lemmatiser = WordNetLemmatizer()

	print("Stem %s: %s" % ("going", stemmer.stem("going")))
	print("Stem %s: %s" % ("gone", stemmer.stem("gone")))
	print("Stem %s: %s" % ("goes", stemmer.stem("goes")))

sanjayssane / ui.R

Created August 21, 2017 08:52

	library(shiny)

	# Define UI for application
	fluidPage(
	titlePanel("Indian Leadership"),

	sidebarLayout(
	sidebarPanel( "President & PM"),
	mainPanel(
	img(src="http://ste.india.com/sites/default/files/2017/06/19/603716-ramnathgovind.jpg",height=200,width=250),

sanjayssane / server.R

Created August 21, 2017 08:50

	library(shiny)

	# Define server logic required to draw a histogram
	function(input, output) {

	# Expression that generates a histogram. The expression is
	# wrapped in a call to renderPlot to indicate that:
	#
	# 1) It is "reactive" and therefore should be automatically
	# re-executed when inputs change

sanjayssane / Demo1.R

Created August 21, 2017 08:39

	library(shiny)
	library(Ecdat)
	data("Housing")

	ui <- pageWithSidebar(headerPanel = headerPanel("Regression Analysis"),

	sidebarPanel = sidebarPanel(
	sliderInput(inputId = "num",
	label = "Choose a Number:",
	value = mean(Housing$lotsize),

sanjayssane / Sane

Created April 27, 2017 15:49

XG Boost with Regression

	library(MASS)
	data("Boston")
	Boston

	library(caret)

	set.seed(1234)
	trainIndex <- createDataPartition(y=Boston$medv,p=0.7,list=F)

	training <- Boston[trainIndex,]