Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.
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Updated
Aug 14, 2020 - Python
Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.
This project classifies diseases in grape plant using various Machine Learning classification algorithms.
[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
Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance
Experiment on the pruning of pool of classifiers
Experiment on the generation of pools of classifiers
Experiment on dynamic selection of classifiers in multiple stages
A Machine Learning project to predict the success or failure of startups based on data by using ensemble modeling techniques, MLflow for tracking experiments, Docker for containerization.
A comprehensive set of programs demonstrating machine learning techniques have been made.
Personal implementation of the paper "A two-stage ensemble method for the detection of class-label noise"
Flexible and transparent Python Boruta implementation
A deployed machine learning model that has the capability to automatically classify the incoming disaster messages into related 36 categories. Project developed as a part of Udacity's Data Science Nanodegree program.
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