Pinned Repositories
Stock_trend_prediction_using_setiment_analysis_of_news_data.
I scrape the news data using webhose.io and stock price data using nsepy. then I labelled the data using information about rising or fall in prices corresponding to news scraped for that day. For the word embeddings, I used GloVe provided by Stanford University. I used stop words from NLTK to remove sentence fillers that do not change the context. Then I used TF-IDF to remove the words that provide the least information. then I used LSTM to map any time-dependent relations in the data set and predicted if a user should "buy" or "sell" the share and with what confidence based on today's news events.
trip_advisor_sentiment_analysis
Trip Advisor had provided a dataset of its reviews with binary classification label of ‘Happy’ and ‘Not Happy’. For the word embeddings, I used GloVe provided by Stanford University. I used stop words from NLTK to remove sentence fillers that do not change the context. Then I used TF-IDF to remove the words that provide the least information. Then I used 1D convolution neural networks (CNN) to predict whether the statement was a ‘Happy’ or a ‘Not Happy’ one.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
College_Projects
This is a collection of my college project work.
JavaScript30
30 Day Vanilla JS Challenge
self_balancing
Stock_trend_prediction_using_setiment_analysis_of_news_data.
This project was done for the NSE Futuretech Hackathon.
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
trip_advisor_sentiment_analysis
This project uses Trip advisor dataset to show working of GloVe, NLTK-Stopwords, TF-IDF, Tockenizer(keras) and Sentiment Analysis
suyashjunnarkar's Repositories
suyashjunnarkar/self_balancing
suyashjunnarkar/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
suyashjunnarkar/College_Projects
This is a collection of my college project work.
suyashjunnarkar/JavaScript30
30 Day Vanilla JS Challenge
suyashjunnarkar/Stock_trend_prediction_using_setiment_analysis_of_news_data.
This project was done for the NSE Futuretech Hackathon.
suyashjunnarkar/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
suyashjunnarkar/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
suyashjunnarkar/trip_advisor_sentiment_analysis
This project uses Trip advisor dataset to show working of GloVe, NLTK-Stopwords, TF-IDF, Tockenizer(keras) and Sentiment Analysis