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A Real Estate Price Estimator
A machine learning model using a deep-pyramidal residual network encoder for a UNet to segment neurons in EM slices.
Diseases Correlation Ignored by the Medical Research
We discovered potential bubbles in Pennsylvania's real estate market and developed a machine learning model.
we can learn to optimize the best hotel recommendations or most popular hotels by user.
Using a Boosting Model to Predict House Prices
We use logistic regression to predict the risk levels of common diseases using a short survey
A recommendation system for hotels based on TripAdvisor user history
Uses various data about people's lives to predict overall health
We augmented data to perform better on the segmentation task
It will be close, 20-40% of the time
Analysis on completed bookings for loyalists vs. non-loyalists on TripAdvisor
Implement user friendly HealthRiskTracker AI tool to asses relevant heart attack risk
Tired of not being able to identify neurons? That's why you should have a neural network do it for you!
Prediction model of housing prices based on Citizen Bank's dataset using neural networks
Our project aims to use a 3D model to visualize TripAdvisor data in variable combinations.
A personalized patient dashboard for health professionals: risk prediction + smart lifestyle suggestions for patients
Promoting a healthy you: How does your health line up with those in your demographics?
We can predict the house price accurate!
We can target who is likely to book and predict characteristics of the hotel that they will book.
We used k-means clustering, random forest and xgboost to predict mid-long term stock returns based on GS indicators.
Automated, end-to-end network for neuron detection in fruit fly and mouse EM images
1 in 5 persons face mental health issues, few will seek help. With early detection, mind_gap hopes to change this.
Attempted Web App visualization of attractions around hotels that are recommended to user
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