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Mark Ferguson's Projects

building-an-mma-fight-analyzer-using-machine-learning icon building-an-mma-fight-analyzer-using-machine-learning

A Study into the In-Fight Factors Affecting Chances of Victory (or Defeat) in MMA fights. This was addressed using a variety of supervised learning models. Two different feature-selection methods were used: Pearson Correlation and ANOVA/Select K-Best

building_a_facial_expression_classifier_using_cnn icon building_a_facial_expression_classifier_using_cnn

An Investigation into Convolutional Neural Networks to resolve facial characteristics. Tools used: Keras with a TensorFlow back-end. Also built a web scraper using Beautiful Soup to pull down suitable images to supplement the original dataset.

clustering_analysis_on_selected_texts_using_nlp icon clustering_analysis_on_selected_texts_using_nlp

The task: to group a disparate collection of short texts using unsupervised learning techniques. The corpus consisted of 105 short stories downloaded from various sources on the internet, among them the Gutenberg Project and textfiles.com.

detecting_implicit_bias_in_traffic_stops icon detecting_implicit_bias_in_traffic_stops

Supervised Learning Project - Various ML models used to predict outcomes of police traffic stops. Statistical techniques used to assess whether racial bias is present in the outcomes of these interactions.

ex_repo icon ex_repo

This repo is for personal exercises.

glg icon glg

Repo for FourthBrain GLG Project

k_means_ex icon k_means_ex

An Example of the K-Means Model, Varying the No. of Clusters

naive_bayes icon naive_bayes

Repository Containing Basic Naive Bayes Classifier Modeling

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