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hackerrank-python-solutions

Python solutions

hands-on-artificial-intelligence-for-banking

Hands-On Artificial Intelligence for Banking, published by Packt

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Part I: Notebooks & Code "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

imt3850

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

interpretable-ml-class.github.io

A new course for familiarizing students with latest research on interpretability

introduction_to_julia_tutorials

These are the jupyter notebooks used for intro tutorials to teach Julia

j-jeopardy

A playable version of the j-archive

janvdvegt.github.io

Machine Teaching blog using cayman layout

jupyterlab-demos

JupyterLab Demos with Git, R, Python and Docker

manuelsanchezuribe.github.io

meetups-archivos

Ppts, códigos y videos de las meetups, data science days, videollamadas y workshops. Data Science Research es una organización sin fines de lucro que busca difundir y descentralizar los conocimientos en Ciencia de Datos e Inteligencia Artificial en el Perú, dando oportunidades a nuevos talentos mediante MeetUps, Workshops y Semilleros de Conocimiento e Investigación.

michael-s-data-science-curriculum

This is the companion curriculum to my guide to becoming a data scientist.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

mitx-6.86x

MITx - 6.86x - Machine Learning with Python-From Linear Models to Deep Learning

mitx-6.86x-machine-learning

Python code written for MIT's Machine Learning course offered on edX

mitx-micromasters

mitx_6.86x

Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

ml-and-ds-geoscience-papers

A collection of published papers, abstracts, and introductory articles of Machine Learning and Data Science related to applications on Geoscience and Hydrocarbon exploration.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

ml-road

Machine Learning Resources, Practice and Research

ml_riskmanagement

Short Course - Applied Machine Learning for Risk Management

ml_securityinformatics

Short Course - Applied Machine Learning for Security Informatics

mlcourse.ai

Open Machine Learning course mlcourse.ai, both in English and Russian

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

nri

Neural relational inference for interacting systems - pytorch

open-assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

opensource-roadmap-datascience

¡Camino a una educación autodidacta en Ciencia de Datos!