Kevin Garda's repositories
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
datasharing
The Leek group guide to data sharing
DeepLearning-Challenges
Codes for weekly challenges on Deep Learning by Siraj
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
machine-learning-coursera-1
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
spark_machine_learning_tutorial
Tutorial on getting started with Spark and Machine Learning (delivered at the Big Data and Analytics Program, S P Jain)
STOCK-PRICE-PREDICTION-USING-TWITTER-SENTIMENT-ANALYSIS
The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean our data or tweets ( like removing special characters ). After that we perform sentiment analysis on the twitter data and plot it for better visualization. The we fetch the STOCK PRICE from yahoo.finance and add it to the data-set to perform prediction. We apply many machine learning algorithms like (random forest, MLPClassifier, logistic regression) and train our data-set. Then we perform prediction on untrained data and plot it with the real data and see the accuracy.
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.
word_vectors_game_of_thrones-LIVE
This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube