Plain python implementations of basic machine learning algorithms

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Text Classification Algorithms: A Survey

🎨 Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.

Absolute balanced kdtree for fast kNN search.

A simply budget app that predicts where the expenses are being made

Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

k-Nearest Neighbors algorithm in PHP

Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018

Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.

Find the closest xterm-256 colors (between 0 and 255) to an arbitrary HTML hexa color (e.g. #ABCDEF)

Heart Disease prediction using 5 algorithms

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

The respository is for Machine learning basiscs.

GTZAN Music Genre Dataset Classification

Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.

Machine Learning Algorithms

A Framework for Indoor Positioning on Mobile Devices

A collection of algorithms done in JavaScript with visual demos

Database Management Systems course projects

Content-based Music Genre Classification

Finance R program - bond pricing, option pricing, and others

knn with cosine similarity (distance)

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.