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.

Language Detection Library

Applies a machine learning pipeline to data obtained from Facebook. Feature extraction, pre-processing, feature selection, training, testing different classifiers and comparing their accuracy.

An app to test simple machine learning with Bayes Theorem

Timepass doing a bit of ML

A text-classifier based on Naive Bayes.

A simple classifier to predict flight delays

Behavioral Biometric Classifier on 8051 Microcontroller

I used the Naive Bayes Classifier in both Python and R

Several machine learning classifiers implemented in Python

DecisionTreeClassifier: Classifies the "Labelled" data

The objective of this project is to predict the probability of loanee or borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Instalments) on the due date.

Computer vision projects using opencv

2D Pattern Classification via Linear Programming for presentation purposes only

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

This is a group project for Machine Learning ECE642 subject. Apply PCA on Optdigits dataset. Choose features that explain 90 % of the variance. Build a classifier using K-means, and calculate accuracy.

Based on Brewer's Friend Recipes data, this application helps you determine the best beer style for your recipe according its IBU, Color and ABV.