The hosuing market has been really hot the past few years due to the really low interest rates. In the project we will train a supervised model to predict the house prices in Boston based on parameters such as number of rooms, area, year built, etc. We will use Tableau for the Exploratory analysis and ensembling techniques to predict the final prices!
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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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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 Covd-19 and conduct document clustering and topic modelling on a dataset of over 400,000 scholary articles on the coronavirus.
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Mobile gaming has grown tremendously over the past few year and all these games have a common goal - to keep their users engaged and playing for as long as possible. Sometimes though, the best things even for the games to do is to force the user to take a break. In this project we will aim to identify if a break introduced after 30 levels is better than one after 40 levels for customer retention.
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