devops-smartapps Goto Github PK

algorithms

A collection of algorithms and data structures

applied-machine-learning-assignment-1

applied-machine-learning-assignment-2

applied-machine-learning-assignment-3

artificial-intelligence-projects

Collection of Artificial Intelligence projects.

code_snippets

comp551-applied-machine-learning

COMP551: Applied Machine Learning- McGill University Graduate Course

comp551-kaggle-competition

COMP551-001: Kaggle Competition

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

edurekapythondatasciencecertification2019

Code from Edureka Python Data Science Summer 2019

engcomp4_landlinear

Using computational thinking to get deep insights on the foundations of linear algebra

exploration-intro-python

Exploration d'un cours d'introduction sur Python avec Calcul Quebec

geotrellis.github.com

Geotrellis github pages.

iisse.github.io

ivado-ap1fr

Introduction à l'apprentissage profond

ivado-dl101

Introduction to Deep Learning

ivado-sds-230

IVADO SDS-230 - Science des données et santé

julia-data-science

Data science and numerical computing with Julia

machine-learning

Machine learning sabbatical study materials

machine-learning-with-python

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

machine-learning-with-python-1

Small scale machine learning projects to understand the core concepts

mit-deep-learning

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

ml-workflows-notebook

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mml-companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

path-planning

Path planning for our kidnapped robot

pythoncode-tutorials

The Python Code Tutorials