This repository proposes several methods to infer relevant associations within a set of features.
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Updated
Jan 25, 2021 - Jupyter Notebook
This repository proposes several methods to infer relevant associations within a set of features.
Project for IST687 Applied Data Science- School of Information Studies, Syracuse University
This web application is motivated by Baymax of the animated movie Big Hero 6. It detects Valvular Heart disorder i.e. damage or defect in one of the four heart valves. On the Machine Learning side, I have used AutoML from the deep learning platform H2O. And the interactive application is build in RShiny.
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
Identify the most important variables that contribute to the level of sustainability of schools using supervised machine learning. Use the importance to assign a weight to each characteristic and calculate a sustainability index for each school.
ML-based prediction of NSCLC recurrence with gene expression data
Machine learning model developed in R to predict which water pumps across Tanzania are not working properly
Data Mining exercise of epitope prediction and classification of virus based on protein data
CART, K-Means, Apriori, Adaboost, RFE; models using Anti-cancer peptides vs Human proteins
Credit Scoring from inputs to interpretation, see Streamlit_app repo to get to the dashboard
This repository contains an ML workflow to predict house prices in Ames, Iowa. This project work is carried out under the Machine Learning module of the GeoDSc track of the Copernicus Master in Digital Earth.
Project made for Advanced Methods in Machine Learning subject at MINI PW
A Credit Limit Classification Business Problem. We need to develop a model in 2 days to predict if a bank should concede or not give a higher credit limit to its clients.
Feature selection project for a student competition. Analyzing data for chemists at University of Southampton.
Classification model using R to predict the biodegradability of various chemicals
Modelling and prediction of default + deployment via AWS Sagemaker
Analytical tool to help the company decide whether the employee will stay or not
The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.
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