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awesome-dynamicgraphlearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

awesome-machine-learning-on-graph

The repository is a curated list of various resources, including academic papers, books, courses, tools, and libraries, related to machine learning with graph data.

datasciencecoursera

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning

deep-learning-projects

Deep learning projects

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

graded-assignment-getting-and-cleaning-data-course-project

Cousera Project

graph-neural-network

The repository is a collection of Jupyter notebooks showcasing various projects related to graph neural networks (GNNs). Each notebook provides a detailed explanation of the project and its implementation, making it easy for users to understand and replicate the results.

graph-theory

The repository contains a collection of projects focused on graph data and the fundamental concepts of graph theory. The repository provides various notebooks and scripts that explore graph algorithms, graph representation, network analysis, and more.

kaggle

kaggle-projects

machine-learning-ideas

notes

portfolio_management

Project for Stock Portfolio Management

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytricks

Collection of less popular features and tricks for the Python programming language

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

research

Machine Learning and Data Science concepts