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.

Adds a customizable menu item to Jupyter (IPython) notebooks to insert boilerplate snippets of code

:loop: WordPress plugin to add file content (Markdown, Jupyter notebooks) from a Git based VCS to a WordPress post; replaces https://github.com/gis-ops/md-github-wordpress

TRAINS Jupyter Notebook Plugin - Add GIT Support For Jupyter Notebook

Add custom CSS rules for JupyterLab

Add entries to start Jupyter QtConsole, JupyterLab or Jupyter Notebook from the context menu