Package confeito provides fast ensemble tree inference

Experiment on the generation of pools of classifiers

Experiment on the pruning of pool of classifiers

Experiment on dynamic selection of classifiers in multiple stages

Personal implementation of the paper "A two-stage ensemble method for the detection of class-label noise"

Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income

In this repository, a regression analysis is conducted using different machine learning and deep learning models. The study is led in order to choose the most suitable model by looking at different characteristics (models tuning, features scaling, etc).

[In Progress] Code for the paper-- MTDeep: boosting the security of deep neural nets against adversarial attacks with moving target defense

An ensemble of BERTs for classifying injury narratives

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance

Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio

Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.

This project is focused on end to end application of Machine Learning methodologies to achieve best predicting accuracy. Our goal is to predict churn rate of customers for a telecom service provider based on service charges and usage data of customer.

MediaEval challenge 2019 - to predict the memorability of the Videos

A repository about Robust Deep Neural Networks with Uncertainty, Local Competition and Error-Correcting-Output-Codes in TensorFlow.

Repository contains Customer Lifetime Value Prediction for Automobile Insurance Company in USA

Using Logistics, Classification, and KNN modelling to predict if a credit card account will default.

Advanced Data Assimilation Algorithms and Methods