ylhan97 Goto Github PK
Name: Yulun Han
Type: User
Company: The University of Chicago
Bio: MA student in Computational Social Science at UChicago
Location: Chicago, IL
Name: Yulun Han
Type: User
Company: The University of Chicago
Bio: MA student in Computational Social Science at UChicago
Location: Chicago, IL
A collection of solutions for Automate The Boring Stuff with extra programs to make your progress through the book easier
github-starter-course created by GitHub Classroom
This is the course repository for the Spring 2021 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the University of Chicago.
Course site for MACS 30200 (Spring 2018) - Perspectives on Computational Research
replication-materials-YLHan97 created by GitHub Classroom
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.
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