
Loan Default Classification
The Project predicts and classifies the various borrowers into 2 groups. Whether they will default on their loan or repay the loan.
The Project predicts and classifies the various borrowers into 2 groups. Whether they will default on their loan or repay the loan.
The Project predicts the prices of resale houses in Singapore and identifies the features that drives the prices.
The Project identifies the reversal points (best time to buy/sell) of specific stocks to prevent missed opportunities or losses.
In this project, my job is to identify whether a location in Chicago at a certain point in time has the West Nile Virus. Then measures can be taken to prevent it.
In this project, I attempt to classify 2 different sub-reddits using NLP.
In this project, the aim is to predict prices in Ames using different features of the respective houses.
In this project, I have to do analysis on the SAT and ACT datasets and come up with a solution on how to increase the participation rates for the test moving forward.