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. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

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…

Implementing a first hurdle for expected returns

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.

【Sprinkle some star dust on this repo! ⭐️ It's good karma!】A comprehensive implementation and analysis of handwritten digit recognition using multiple neural network architectures on the MNIST dataset. Features basic MLP, optimized feature-selected model, and deep CNN approaches with detailed performance comparisons and visualizations.

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

Analisi delle feature latenti di immagini protette e non protette di vari artisti

Upload your CSV and get instant insights — automated EDA with visualizations, missing value analysis, feature types, correlations, and more. Built for data scientists and non-tech users alike.