Project on predicting the sentiments of tweets during the Pre-Election period.

Creating a custom ensemble classification model using Decision Tree, Random Forest and XgBoost.

This project focuses on predicting the likelihood of a person having diabetes based on various health-related attributes. It employs a Voting Classifier, which combines the predictions of multiple machine learning models, to improve prediction accuracy.

Ensemble Techniques

Udacity Machine Learning Project 3(Python)

A Repo of various End-to-End analysis in statistical approach, exploratory data analysis (EDA) , feature engineering and modelling.

Employee Attrition. Machine Learning Classification problem using two Ensemble Models with hyperparameter tuning and oversampling.

Ensemble model for prediction of non-classical secreted protein

Ranked as top-1 in Columbia EECS 6893 in Topics in Signal Processing: Big Data Analysis

Final project for Principles of Machine Learning (CS 363M) Course

This repository contains the code the dataset and the end to end description of Project to find the duplicate question in Quora to make user interaction easy.

A short repository for my machine learning skills on real datasets

Design of several classifiers to discriminate between calcification and masses, as well as, benign and malignant ones of mammography films.

Predicted the breast cancer in patient using Ensemble Techniques and evaluated the model

The project involves building models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.

Classification of X-Ray images with an ensemble of CNNs

Three other students and me developed a machine learning model for an assignment at TiU. We predicted the publication year of scientific articles based on metadata (entrytype, author, abstract, editor, and publisher). Our evaluation metric was mean absolute error. Our ensemble model predicted with an MAE of 3.34. More information is in the report.