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Many market analysts believe that predicting market’s stocks fluctuations is nearly impossible to achieve due to the number of variables involved, especially since many of these variables are based on irrational factors such as human sentiment. However, I developed a model that uses a combination of sentiment analysis, clustering and feed-forward neural network in order to predict the market trends.

Python 15.94% Jupyter Notebook 84.06%
clustering machine-learning neural-networks pandas python3 sentiment-analysis stock-price-prediction tensoflow

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