feature-analysis

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using advanced Machine Learning (ML) methods. Additionally, it provides betting agents based on Deep Reinforcement Learning (DRL), which can learn optimal betting strategies.

MARVIS-Agent: all-purpose credit risk agent for model development, validation, data processing, feature engineering, and strategy workflows.

iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three ver…

iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three ver…

This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.

Implementing a first hurdle for expected returns

The Internet Movie Database (IMDb) is a website that serves as an online database of world cinema. This website contains a large number of public data on films such as the title of the film, the year of release of the film, the genre of the film, the audience, the rating of critics, the duration of the film, the summary of the film, actors, dire…

ML-Premier-League-Wins-Predictor is my first machine learning project that predicts the number of wins for each team in the Premier League using linear regression. Explore the key factors that contribute to becoming a champion in one of the world's most competitive football leagues. Jupyter Notebook and code included.

Exploratory Data Analysis (EDA) on Kaggle’s House Prices dataset, analyzing distributions, missing values, outliers, correlations, and categorical feature relationships using Python, pandas, and seaborn.

A Python cheatcheet for Machine Learning visualizations.

Having fun making a football machine learning app that will predict defensive play calls. See the app link for details on how this was done.

This project fits and tunes several regression models to predict Parkinson's symptom severity scores from voice recordings.

A machine learning project using different feature analysis and cross validation and NLP.

Emits known signals to test wireless defenses, measuring detection accuracy, latency, and confidence for authorized security assessments.

Embedding-based thesis year prediction using ensemble regression methods and representation analysis.

TikTok automation tool explorer

Supervised machine learning to predict breast cancer tumors (benign vs malignant) using SVM and KNN, with model comparison and feature analysis.

gradient boosting classifier prediction model to predict one's employability and skill recommendation

A research-oriented toolkit for analyzing layer-wise feature correlations in deep neural networks. It provides modular utilities for extracting activations, computing correlation matrices, visualizing layer relationships, and comparing network representations across architectures or training stages.

Training a model using AutoGluon to predict bike sharing demand