Utilizes Machine Learning to classify sports personalities based on their facial features.

K-nearest neighbors (KNN) is a supervised machine learning algorithm that is used for classification and regression tasks. It works by finding the K nearest data points to a given input and using their labels to predict the label for the input.

Web application that use IBM Watson's Natural Language Classifier service

Detect vehicles using HOG features and a linear SVM

Demo for the part 2 of the tutorial on pychain

Not Potato shows if your food is a potato 🥔

This classifier uses the sub-strings of size 3 to learn probability associated with each substring such that it belongs to a particular ethnic group using the census 2000 data. When a new string is presented, it is broken down into sub-strings of size 3, and prediction is done on each of the sub-string using the model computed before. The output…

Python based Naive Bayes Classifier using nltk

Data Mining project made for CS-686 in the Fall of 2016 for University of San Francisco, Data Mining class.

Program used for easily drawing vectors over an image and saving the vector points and PNG masks to a standard JSON or XML format.

Audio classifier created for our Data Science class on Insper 2018.2

Determine if the object in a given image is 3D printed or not.

A classifier that recognizes cats using a logistic regression model, structured as a shallow neural network

Predicts article category based from BBC's documents as trained data set.

A simple, robust, multi-state Java implementation of the Naive Bayes classification algorithm.

Perceptron, Pseudo Inverse Linear Classifier, SGD, SVM, Batch Gradient Descent, Minibatch Gradient Descent with tensorflow

A classifier app that identifies main characters from Atlanta TV series.

The model for filtering NSFW images backing the Wingman Jr. plugin: https://github.com/wingman-jr-addon/wingman_jr

A collection of classification algorithms for different purposes

To build a classification model to predict the likelihood of a liability customer buying personal loans.