| shaypal5/awesome-twitter-data |
847 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
cc0-1.0 |
|
| A list of Twitter datasets and related resources. |
| towardsai/tutorials |
847 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| AI-related tutorials. Access any of them for free → https://towardsai.net/editorial |
| DataScienceUB/introduction-datascience-python-book |
385 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications |
| shreyans29/thesemicolon |
312 |
|
0 |
0 |
about 8 years ago |
0 |
|
16 |
|
Jupyter Notebook |
| This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon. |
| uclatommy/tweetfeels |
246 |
|
0 |
0 |
over 7 years ago |
10 |
November 11, 2018 |
5 |
bsd-3-clause |
Python |
| Real-time sentiment analysis in Python using twitter's streaming api |
| asad70/reddit-sentiment-analysis |
203 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value. |
| darwinex/DarwinexLabs |
192 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
bsd-3-clause |
Python |
| Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex |
| rhnvrm/labeled-tweet-generator |
102 |
|
0 |
0 |
about 9 years ago |
0 |
|
2 |
|
HTML |
| Search for tweets and download the data labeled with its polarity in CSV format |
| Ronak-59/Stock-Prediction |
81 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
JavaScript |
| Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon |
| n3mo/data-science |
64 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
gpl-3.0 |
Racket |
| Data science tooling for Racket |
