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This project aims to predict credit risk using various ensemble machine learning techniques. I have also tried to handle imbalance by using various sampling methods.
Our aim was to make a model of housing prices that mimic the infamous Boston Housing Data but on a macro level. We wanted to use Multiple Linear Regression in order to predict the housing prices an…
The project aims to predict personality types using Natural Language Processing on the social media presence of more than 8600 individuals and implement various machine learning algorithms on a dat…
This project runs a rental analysis on the property in San Francisco and aims to provide customers with a broad range of portfolio options. I have used Python's PyViz library to create a dashboard …
Used SQL to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions. Analyzed on Python and created visualizations.
This project aims to predict future yen prices using time-series models such as ARIMA as well as making out of sample and in sample predictions on Python
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