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01

R code for Simple Linear Regression for three data sets

admission

Gramner tutorial

ar

R code for Association Rules for three data sets

awesome-knowledge-graph-reasoning

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

awesome-nlprojects

List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist

awesome-r-packages

A curated list 📄 of awesome 🌟 R packages 🌟 (WORK IN PROGRESS)

caretknn

R code for K- Nearest Neighbor using caret package for two data sets

clustering

R code for Clustering (K-means and Hierarchical) for three data sets

craft-pytorch

Pytorch implementation of CRAFT text detector

customer-segmentation

Distinguishing and finding similarities between different customer groups using Cluster Analysis and Discriminant Analysis for a hypothetical company based on a credit card dataset.

dl-datasets-

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dt_rf

R code for Decision Trees and Random Forests for three data sets

fashion-dashboard

Codebase for the Dashboard that was developed as part of a Fashion recommendation project.

football

forecast

R code for Forecasting using various models for two data sets

gnnpapers

Must-read papers on graph neural networks (GNN)

grand

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

instagram-scraper

Scrapes an instagram user's photos and videos

instagram-scraping

Python script to scrap deskgram (Deskgram is a desktop version of Instagram)

knn

A K- Nearest Neighbor Algorithm code in R for two data sets.

loghub

A large collection of system log datasets for AI-powered log analytics

lr

R code for Logistic Regression for one data set

matplotlib

matplotlib: plotting with Python

maxent

maxent is an R package with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm package. The classifier is based on an efficient C++ implementation written by Dr. Yoshimasa Tsuruoka.

mlr

R code for Multi linear Regression for three data sets

mmaction

nb

R code on Naive Bayes Algorithm, based on applying Bayes' theorem for two datasets

netlogo-minifactory

Introduction to simulation with NetLogo: how to create a small factory?

neural_networks

R code for Neural Networks (Artificial Neural Network) for three datasets