Nested Dichotomy Logistic Regression Models

This code explores predictive composite measures for health facility disruptions in conflict zones based on conflict intensity (measured through repeat conflict events in close proximity) and type of conflict event.

Tools created for machine learning classification model evaluation

Bayesian Machine Learning with PYMC3. Data from the Kyiv School of Economics.

Python project for the Fundamentals of of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is exploring Logistic Regression & Multinomial Regression concepts along with training classifiers using Gradient Descent/Ascent.

Finding out whether it is possible to predict the quality of the wine using Random Forests, Neural Networks, Classification trees and other methods

Spatio-temporal estimates of HIV risk group proportions for AGYW across 13 priority countries in sub-Saharan Africa

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

Complete details of Multinomial Logistic Regression from scratch . It is optimized to perform the operation in minimum time .

Every year, students in the 5th semester get to enroll in a open course subject of their choice out of 12 electives. This data analysis project is a study on the trends and behavior's of student choices.

This repository contains readme and code for the thesis research project.

Our industrial attachment project involves developing a credit scoring system to determine Upay users' loan eligibility. This system uses machine learning to forecast loan approval using transaction history and customer data. This project aims to provide a reliable credit score system for loan disbursement. It will also inform decision makers about

This repository contains a credit scoring system that leverages machine learning to predict the likelihood of a user receiving a loan. The system includes a user interface where users can upload data files to receive loan decisions, loan probability assessments, and suggested loan amounts for eligible applicant.

An R markdown notebook detailing the necessary steps to fit a multinomial logistic regression model to some sample data.

This project aims to conduct a random survey design for collecting responses regarding wine preferences of Italian consumers. Furthermore, it attempts to understand how preference share gets affected as we vary different attributes associated with wine with the use of a research method called Conjoint Analysis..

ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension

NLP of Self-Driving Car Tweets

Machine Learning algorithms (Classification, Clustering, Regression) on Iris dataset in R