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Your City Search Tool
Use of K-means clustering to connect users to the location that fits their needs.
Predict possibility of infecting COVID 19 via common laboratory test.
Predicting the stock market isn't simple, but we gave it a try.
Where should you really live?
Come and get your Love --- Solution for TD for-you Page Challenge
Using machine learning to differentiate between the X-ray images of patients with COVID-19, influenza, and without disease.
Easily find the best place to live, using a dashboard with City Search x GIS
We are doing the TD challenge
An interactive algorithm and map that recommends a place to live
Since we could have any Financial Hack for the Capital One Challenge, I decided to help user know how much house they can afford
Here's the deal. You get to live anywhere you want. But where tho? Here's where
Challenge: City Search Tool
We decided to use different interactive visualizations and ML models to help predict where to live based on different features.
In order to best gauge which city suits an individual we have created an interactive web application involving data/ML techniques to optimize which cities are most desirable from individual tastes.
A chance to see the world made simple.
LSTM stock price predictor and automated trading system.
Too generalized policies leads to customer churning in banks. With our new tool, banks will now be able to learn which customers might leave and what can be done to retain them.
A ML clustering-based web app to help users identify their dream city to live post COVID.
K-Means Clustering model to find the perfect city match for you
Hardware simulation of a self-sustaining greenhouse.
Ever needed a quick, convenient, and reliable way to search for a city? Whether it's for work, school, or leisure - look no further, we got you covered!
Data scientists aren't the best at human interaction, why not use data to handle the matchmaking for them?
The basic idea of this project is to explore given dataset and augment it with other functionalities and use ML model to predict, finally we have demo a good visualization interface through DC.js
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