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feature-analysis

Here are 21 public repositories matching this topic...

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.

  • Updated Oct 30, 2024
  • Python

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…

  • Updated Aug 16, 2023
  • Python

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…

  • Updated May 23, 2022
  • Python

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.

  • Updated Sep 4, 2023
  • Jupyter Notebook

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…

  • Updated May 25, 2020
  • Jupyter Notebook

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

  • Updated Mar 30, 2022
  • Jupyter Notebook

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.

  • Updated Jul 19, 2023
  • Jupyter Notebook

A deep learning project implementing neural network models to accurately predict body fat percentage from anthropometric measurements. Features both comprehensive and reduced-input models, with detailed analysis of feature importance and model performance.

  • Updated Dec 12, 2024
  • Jupyter Notebook

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.

  • Updated Dec 12, 2024
  • Jupyter Notebook

Analysing different text representations for genre identification. I parse CONLL-u files and extract various representations of a text (running text, lemmas, part-of-speech), then train a Fasttext model on each to see which representation is the most beneficial for the genre identification task.

  • Updated Aug 18, 2022
  • Jupyter Notebook

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