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.
Multi-label classification model on MNIST digits dataset.
Haar Cascade Classifier implementation and tools
Feedforward backpropagation neural network classifier for MNIST digit datatset
A simple word classifier based on minimum suffix match
Perceptron module for layers of neuralnets
randomjs converted to U++ conventions
Console application project which classifies animal species.
This is a face-detector app powered by C++, OpenCV and Multimedia Pipeline like GStreamer.
Decision Tree Classifier and Boosted Random Forest
Naive Bayes classifier for text classification with CPU and GPU (CUDA)
SGD classifier for the MINST dataset built using Eigen in C++
This project is made to accurately detect, classify, alert and extinguish fire in a buiding/room with 24x7 CCTV/Webcam survelliance and without using sensors. This is our final year project for the session 2019-20; TMSL, Kolkata.
MicrOscopic VisuAlization of BLood cElls for the Detection of Malaria and CD4+
Decision tree implementation in C++ to classify and predict salary of people using ID3 and C4.5 algorithms
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