Discover abhilampard/Hospital-Readmission-Prediction-XGBoost Open

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Created almost 5 years ago
Updated almost 5 years ago

abhilampard

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Prediction of a readmission for a patient based on the Electronic Health Records (EHR) data. This project was done as part of a timed challenge with a time limit of 3 hours to work on this dataset. So, it is just a preliminary model using XGBoost algorithm with some basic data exploration for data processing.

Simple-Plagiarism-Checker

Web Application for checking the similarity between query and document using the concept of Cosine Similarity.

Python

Movie_Recommendation_Engine

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

Jupyter Notebook

Physionet-CSV-Conversion

Code to access the ECG data from Physionet using Python.

Python

Audit-Risk-Classification

This project was part of the MIS6v99 Applied Machine Learning course that I took in Spring 2019. The goal of this project is to help the auditors by building a classification model that can predict the fraudulent firm on the basis the present and historical risk factors. The dataset is collected from the Auditor Office of India to build a predictor for classifying suspicious firms and is publicly available on UCI's Machine Learning Repository.

Jupyter Notebook