All Relevant Feature Selection
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Updated
Sep 27, 2024 - Python
All Relevant Feature Selection
ML-based prediction of NSCLC recurrence with gene expression data
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.
Modelling and prediction of default + deployment via AWS Sagemaker
Data Mining exercise of epitope prediction and classification of virus based on protein data
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.
Feature selection on a Bitcoin Dataset
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
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.
Machine learning model developed in R to predict which water pumps across Tanzania are not working properly
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.
A fast xgboost feature selection algorithm
This repository proposes several methods to infer relevant associations within a set of features.
Credit Scoring from inputs to interpretation, see Streamlit_app repo to get to the dashboard
Feature selection project for a student competition. Analyzing data for chemists at University of Southampton.
CART, K-Means, Apriori, Adaboost, RFE; models using Anti-cancer peptides vs Human proteins
Project made for Advanced Methods in Machine Learning subject at MINI PW
Classification model using R to predict the biodegradability of various chemicals
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