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[Project Description] Getting IBM’s tweets to analyse sentiments in order to create a machine learning algorithm that forecasts stock prices based on historical price data and sentiment polarity per day. Time series models used were SARIMAX, Prophet and ARIMA. Machine learning models used were KNN and MLP.
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[Project Goals]
Exploratory data analysis (EDA) of a company stock price Implementation of machine learning algorithms to forecast the price for 2020 based on sentiment analysis.