"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."
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Updated
Jun 3, 2024 - Jupyter Notebook
"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."
This code demonstrates the use of machine learning to model the multimodal nature of a single cell. Using machine learning to predict RNA from DNA, that is, using chromatin accessibility data to predict the RNA gene expression and to predict surface protein from RNA, that is, using RNA sequence data to predict surface protein levels in a cell
This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.
Machine Learning models that were utilized to predict hotel prices in Saudi Arabia.
Pusion (Python Universal Fusion) is a generic and flexible framework written in Python for combining multiple classifier’s decision outcomes.
Reward Penalty Weighted Ensemble approach for multimodal data stream classification
This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & Engineering
Predicted consumer activity type for the NCAA Women’s Basketball Tournament
Our goal in this project was to develop statistical and machine learning models to replicate the functionality of the traditional Black-Scholes option pricing formula, specifically for valuing European call options.
Spotify Classification Problem 2023
This project implements functions for building an ensemble of classifiers and regressors using the TPOT and auto-sklearn libraries with the help of a genetic algorithm evolved using the deap library.
[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
Выполняется бинарная классификация для текстовых данных сообщений о спаме/неспаме. Оценка моделей выполняется на основе метрики roc-auc
UArizona DataLab Workshops
A project to forecast Stock market prices most efficiently
Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective
This project has effectively analyzed house price trends and prediction using machine learning, emphasizing data cleaning, exploratory analysis, and regression modeling to gain insights into dataset patterns and structures.
machine learning regression
This repository contains the code and resources for an end-to-end machine learning project aimed at predicting student performance.
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