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.

Reward Penalty Weighted Ensemble approach for multimodal data stream classification

Spotify Classification Problem 2023

This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & Engineering

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.

Machine Learning models that were utilized to predict hotel prices in Saudi Arabia.

"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

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

A series of notebook submissions I've done for the Kaggle Playground Series Competition.

Intermediate Machine learning course with example projects

This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.

Advanced Machine Learning Regression: Predicting Car Prices