COVID-19 has impacted millions of lives and getting the right information at the right time is more critical than ever. In this project, I aim to visualize the spread of COVID-19 and conduct document clustering and topic modelling on a dataset of over 400,000 scholary articles.
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Amazon has transformed the way we shop and the pandemic has given a huge boost to the online retail business. In this project we use Natural Language Processing and Neural Networks to predict the rating a person might give to a product.
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The housing market has been really hot the past few years due to the low interest rates. In this project a supervised machine learning model is trained to predict the house prices in Boston based on parameters such as number of rooms, area, year built, etc. I have used Tableau for the exploratory analysis and ensembling techniques to predict the final prices.
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