Netflix-Influencers

Project to identify influencers of stock based on Twitter posts using Supervised and Unsupervised Machine Learning algorithms.

Contributors: Dena Tapia, Cristi Guevara, Jason Hyacinthe, Jesse Swain

Refer to 'ProjectSummary.ipynb' for a full summary of the project, methods and description of the source files

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
Financial_data.py		Financial_data.py
Netflix_news.py		Netflix_news.py
ProjectSummary.ipynb		ProjectSummary.ipynb
README.md		README.md
Stock_resampling_momentum.py		Stock_resampling_momentum.py
Target_variable_shift.py		Target_variable_shift.py
Twitter_Clustering.py		Twitter_Clustering.py
Twitter_DataAggregation.py		Twitter_DataAggregation.py
Twitter_DataBase.py		Twitter_DataBase.py
Twitter_Sentiment.py		Twitter_Sentiment.py
Twitter_Sentiment_Summary_Results.py		Twitter_Sentiment_Summary_Results.py
Twitter_Vectors.py		Twitter_Vectors.py
Twitter_Vectors_tfidf.py		Twitter_Vectors_tfidf.py
Twitter_clusters_similar.py		Twitter_clusters_similar.py
netflix_RandomForestRegressor.py		netflix_RandomForestRegressor.py
netflix_RandomForestRegressor_RFE.py		netflix_RandomForestRegressor_RFE.py
netflix_RandomForestRegressor_stepwise.py		netflix_RandomForestRegressor_stepwise.py
netflix_Ridge.py		netflix_Ridge.py
netflix_regression_data_prep.py		netflix_regression_data_prep.py

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