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supervised-machine-learning

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🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

  • Updated Jan 30, 2025
  • Python

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

  • Updated Dec 8, 2022
  • Python

This is a supervised Recurrent Neural Network (RNN) learning project treating stock trading as a classification problem. Given input of a 60 day window of pricing data, choose the best action for maximum profit. This uses my earlier https://github.com/TimRivoli/Stock-Price-Trade-Analyzer project for a trading environment, and its SeriesPredictio…

  • Updated Jul 19, 2020
  • Python

An easy to read and Object Oriented implementation of a simple Neural Network using back-propagation and hidden layers, applied on a basic image classification problem.

  • Updated Mar 28, 2018
  • Python

An algorithm for the popular social deduction game Avalon. In a game based on social deduction, visual cues, deception, and unpredictability, can a minions intent be revealed by careful objective analysis? Currently developing a neural network via Tensorflow. Input teams, player votes, and mission outcomes, and recieve a dynamic probability asse…

  • Updated Jun 26, 2018
  • Python

Este repositorio contiene un proyecto de Machine Learning para predecir números de un juego utilizando árboles de decisión. Incluye un script principal (Lottery.py) para cargar datos, entrenar el modelo y hacer predicciones. Se proporciona un archivo de datos (num.csv) como entrada para el modelo.

  • Updated Mar 15, 2024
  • Python

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