Utilizes Machine Learning to classify sports personalities based on their facial features.
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Updated
Aug 23, 2023 - Jupyter Notebook
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
In this project I tried various Kernels and used the most suited one of Support Vector Machine , both in Python and R
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.
A simple classifier of music genders, Naive bayes, SGD and SVM used.
Audio classifier created for our Data Science class on Insper 2018.2
A classifier that recognizes cats using a logistic regression model, structured as a shallow neural network
A simple, robust, multi-state Java implementation of the Naive Bayes classification algorithm.
A classifier app that identifies main characters from Atlanta TV series.
A collection of classification algorithms for different purposes
Detects if a person is wearing mask or not.
Traffic Light Classifier (project 5 of 5 from Udacity Intro to Self Driving Car Nanodegree)
70 Days Pre-Bootcamp Online Class with Data Science Nigeria; Machine Learning Stream #DSN70daysofML
Classifier for dog and cat breeds created for final project submission at ITC.
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