“audio-classification-python” is a project assembled to explore and implement audio classification tasks using Python. At its core the repository contains Jupyter notebooks that guide a user through ...

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

This repo contains the code to perform a simple image classification task using Python and Machine Learning. We will apply global feature descriptors such as Color Histograms, Haralick Textures and Hu ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...