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About Me
An experienced Data Scientist with a demonstrated history of working for 3 years in Machine Learning and Data Analysis. Specialized in Predictive Modelling, Recommendation Systems and Building Chatbots with working knowledge in CNN, Time Series Forec...
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Description
Utilizing sentiments of Stock Record News from the news aggregator was important for assisting the prediction of stock record growth. The news sentiments were captured using NLP’s VADER. The code developed was later used as a ‘library’ for Stock Record Growth prediction along with XGBoost model mentioned above.
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