A collection of important graph embedding, classification and representation learning papers with implementations.

This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.

A curated list of gradient boosting research papers with implementations.

Python implementation of KNN and DTW classification algorithm

A general classifier module to allow Bayesian and LSI classifications.

Fast Best-Subset Selection Library

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

DataCLUE: 数据为中心的NLP基准和工具包

DeepSuperLearner - Python implementation of the deep ensemble algorithm

机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集

Object classification with CIFAR-10 using transfer learning

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…

Classifying the Blur and Clear Images

🤖 Natural language processing with JavaScript

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Data Visualization and Machine Learning with Iris Dataset.

This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.