Using data within first 24 hours of intensive care to develop a machine learning model that could improve the current patient survival probability prediction system (apache_4a) and is more generalized to patients outside of the US

Predicting if a NBA rookie player will last at least 5 years in the league

Performance of the EM algorithm and imputation methods with different missing data mechanisms (EPFL - Statistical Computation and Visualization)

This was the hackathon project organized by IIT G in collaboration with ai planet. Where we had to create a ML model to predict whether an activity on the website can be considered a Neptune attack or not. This is what I'd done and got 100% score.

Presentation slides for a talk about missing data

Machine Learning in Official Statistics

mini machine learning projects

Random forest regression + ARIMA timeseries modeling to impute metric values and forecast revenue for reporting purposes.

This repository encompasses my research conducted at the CPS Lab, South Campus, University of Delhi, during my tenure as a research intern. The focus of our study involved identifying unique phenotypes of complications arising from myocardial infarction using k-means clustering. and this dataset is taken from UCI repository

A simulation study looking at which combinations of missing data handling methods across a prediction model's pipeline are compatible, and which ones lead to bias.

Project, hours, users and clients management application for the company Hodeia Digital (Bilbao)

A package for synthetic data generation for imputation using single and multiple imputation methods.

Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023

Contributing to Open Source code

Analyzing the data of air quality using traditional data analytical methods with the help of R studio

From missing mechanism of data to data imputation

Dealing with Missing values using ML

Different imputation technique with example

This repository demonstrates data imputation using Scikit-Learn's SimpleImputer, KNNImputer, and IterativeImputer.

Predicting solar energy production