📧 💰 Python + Machine Learning / I analyse the Enron Scandal data and try to predict those who were involved in the Enron fraud based on their financial data

Implementation of a few supervised machine learning algorithms in order to analyze the 2016 Presidential Election.

Following tutorials from Josh Gordon.

Facebook Challenge to classify genuinity of the seller

Link Prediction in Co-authorship dataset

Base code for OMSCS CS 7641 Assignment 1

A parametric lineal model for supervised ML using Genetic Algorithms to optimize. Iris and CIFAR-10 datasets.

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.

A multilayer perceptron Neural Network to recognize handwritten digits.

Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .

TFM - Análisis de sentimientos en Twitter

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…

Supervised Learning Algorithms

Simple Supervised learning algorithm with nltk to classify names (male or female)

Machine Learning for Trading

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

This project aims to use modern and effective techniques like KNN and SVM which groups together the dataset and providing the comprehensive and generic approach for recommending wine to the customers on the basis of certain features.

TalkingData AdTracking Fraud Detection Challenge

Quantum Machine Learning