A notebook repository for tracking learning machine learning notebook.
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Updated
Dec 22, 2018 - Jupyter Notebook
A notebook repository for tracking learning machine learning notebook.
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.
The official implementation of the method in the paper "Few-shot bioacoustic event detection using an event-length adapted ensemble of prototypical networks"
Ensemble Techniques
Python package for optimal aggregation of bagged ensemble models
AICUP 2024 Cross-camera Multiple-object tracking
Udacity Machine Learning Project 3(Python)
Implementation of Saliency-based Agreement Metric for Ensemble Learning
Employee Attrition. Machine Learning Classification problem using two Ensemble Models with hyperparameter tuning and oversampling.
Detecting fake news online with an ensemble approach to deep learning algorithms
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
Implementations of pattern recognition methods with only numpy.
Final project for Principles of Machine Learning (CS 363M) Course
This repository contains the code to reproduce the results in the paper Quantum Algorithm for Ensemble Learning
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.
Stacking Classifier with parallel computing architecture based on Message Passing Interface.
A short repository for my machine learning skills on real datasets
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