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jzyjade's Projects

aws_taxi icon aws_taxi

Sample scripts to analyze taxi data on Amazon AWS

cxrimageclassification icon cxrimageclassification

Disease Diagnosis from an image is one of the challenging problems faced in today’s world. Due to the ever-increasing population growth the doctors must overwork for meeting the needs of the patients. Hence an early diagnostic system which can detect the disease in the early stages is helpful for doctors. Such a disease is Pneumonia which occurs in the lungs due to the bacterial infection. The early diagnosis and subsequent treatment can help in certainly reducing the deaths caused due to this disease. The Symptoms of this disease can be detected using a Chest X-Ray. The diagnosis subjected to this disease can be sometimes unclear and hence creates dilemma in detection of disease. Hence in this study we propose a Convolutional Neural Network based model for the detection of pneumonia so that it may assist the doctors in early detection

geneticfs icon geneticfs

GeneticFS is a library for feature selection in Machine Learning using a Genetic Algorithm as an optimisation method.

mmm_stan icon mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

predict_alzheimers icon predict_alzheimers

In this project I develop a deep learning CNN model to predict Alzheimer's disease using 3D MRI medical images of the Hippocampus region of the brain.

spatialanalyticsproject_nyucusp icon spatialanalyticsproject_nyucusp

This is a form of an electronic codebook for the the project of spatial analytics.Hoping to see some cool shapefiles coming in here soon !And Python Scripts are always a PLUS !

startbootstrap-bare icon startbootstrap-bare

A bare Bootstrap HTML starter template for rapid development - created by Start Bootstrap

torchmtlr icon torchmtlr

Flexible and modular implementation of multi-task logistic regression in PyTorch.

usi_sip icon usi_sip

The social impact project of the urban science intensive course

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