Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
AAA2011-Tweets
R code for analyzing tweets relating to #AAA2011 (text mining, topic modelling, network analysis, clustering and sentiment analysis)
amazon-polly-sample
Sample application for Amazon Polly. Allows to convert any blog into an audio podcast.
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
ApacheKafkaTutorials
Example Code for Kafka Tutorials @ Learning Journal
awesome-opensource-data-engineering
An Awesome List of Open-Source Data Engineering Projects
awesome-sentiment-analysis
Repository with all what is necessary for sentiment analysis and related areas
basic_sentiment_analysis
Code of the blog post: http://fjavieralba.com/basic-sentiment-analysis-with-python.html
bert
TensorFlow code and pre-trained models for BERT
pluketic's Repositories
pluketic/Big-Mart-Sales
pluketic/CoreNLP-1
Stanford CoreNLP Extensions: Fork to provide the ability to capture Multi-Word Expressions
pluketic/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
pluketic/DDP_CourseProject
Developing Data Products
pluketic/Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
pluketic/ds-for-telco
Source material for Data Science for Telecom Tutorial at Strata Singapore 2015
pluketic/Duke_CourseProject
Data & scripts for Course Project
pluketic/Emoticons
Set up a proper Emoticons dictionary for R to analyze Emoticons in tweets
pluketic/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
pluketic/Facial-Expression-Recognition
Recognizes 85.7% of the all the facial expressions in the Toronto Face Dataset
pluketic/facial-expression-recognition-1
The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training
pluketic/GettingAndCleaningData
Course Project for Getting and Cleaning Data.
pluketic/Learning-Python-for-Forensics
Learning Python for Forensics by Packt Publishing
pluketic/LittleInferenceBook
A book for the coursera statistical inference class
pluketic/np-quake
Exploring earthquake data using shiny dashboard
pluketic/Practical-Machine-Learning
Repo for the Practical Machine Learning course submissions
pluketic/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
pluketic/python-crawling
Code Repository for Web Crawling with Python
pluketic/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
pluketic/rnn-tutorial-rnnlm
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
pluketic/sentiment
Sentiment analysis using machine learning techniques.
pluketic/SMFeedback
Provide Feedback on polarity of tweets and instagram posts
pluketic/spark
Mirror of Apache Spark
pluketic/spark-training
Spark training material
pluketic/StatInference
pluketic/Tweet-Analysis-using-R
Twitter Text Analysis
pluketic/tweetonomy
Social network analysis of twitter data with hadoop, flume, hive and R (igraph).
pluketic/twitter-sentiment-analysis
R shiny web application to scrape tweets based on user-defined search keyword and perform sentiment analysis of the tweets. Sentiment analysis of tweets consists of classifying tweets into emotion classes (i.e., anger, disgust, fear, joy, sadness and surprise) and also polarity classes (i.e., negative, neutral and positive) using naïve Bayes classifier. The tweets are scraped, classified into sentiment classes and visualized in R using twitteR, sentiment and ggplot2 packages, respectively.
pluketic/TwitterSparkStreamClustering
pluketic/vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.