Suresh Gorakala sureshgorakala
sureshgorakala
/ Running_first_neural_network_model_on_google_colaboratory.ipynb
Created
September 8, 2018 17:08
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| #load required pacakges | |
| if(!require("readtext")) | |
| install.packages("readtext") | |
| library(readtext) | |
| if(!require("tm")) | |
| install.packages("tm") | |
| library(tm) | |
| if(!require("stringr")) |
sureshgorakala
/ getting started with RStudio.ipynb
Created
December 2, 2017 09:15
getting started with RStudio
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sureshgorakala
/ information_retreival_part1.r
Last active
October 24, 2017 05:03
The code shows how to build basic search engine using vector space model in R
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| #load required pacakges | |
| if(!require("readtext")) | |
| install.packages("readtext") | |
| library(readtext) | |
| if(!require("tm")) | |
| install.packages("tm") | |
| library(tm) | |
| if(!require("stringr")) |
sureshgorakala
/ NLP_Session_1.py
Created
February 8, 2017 01:26
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| import nltk | |
| #reading text into python | |
| path = "~/textCourpus.txt" | |
| f = open(path,'r') | |
| lines = [line.replace('\n','') for line in f.readlines()] | |
| #lines2 = [line.replace('\n','') for line in f.readlines()] | |
| type(lines) | |
| len(lines) |
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| library(pca) | |
| data("crimtab") #load data | |
| head(crimtab) #show sample data | |
| dim(crimtab) #check dimensions | |
| str(crimtab) #show structure of the data | |
| sum(crimtab) | |
| colnames(crimtab) | |
| apply(crimtab,2,var) #check the variance accross the variables | |
| pca =prcomp(crimtab) #applying principal component analysis on crimtab data | |
| par(mar = rep(2, 4)) #plot to show variable importance |
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| import pandas | |
| import numpy | |
| import scipy.stats | |
| import seaborn | |
| import matplotlib.pyplot as plt | |
| # any additional libraries would be imported here | |
| data = pandas.read_csv('C:\\Suresh\\Blog Posts\\datasets\\nesarc_pds1134\\SPLITDATA\\CourseData.csv', low_memory=False) |
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| #mean of the rows | |
| apply(m, 1, mean) | |
| # mean of the columns | |
| apply(m, 2, mean) | |
| # divide all values by 2 | |
| apply(m, 1:2, function(x) x/2) |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| </head> | |
| <body> | |
| <h1>HTML UI</h1> | |
| <table> |
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| library(twitteR) | |
| library(tm) | |
| library(stringr) | |
| library(wordcloud) | |
| #fetch data | |
| load("D:/Suresh R&D/Emirates Airlines SNA/twitteR_credentials") | |
| registerTwitterOAuth(twitCred) | |
| tweets = searchTwitter("@emirates", lang="en",cainfo="D:/Suresh R&D/Emirates Airlines SNA/cacert.pem") | |
| #remove retweets |
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