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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-science-at-the-command-line

Data Science at the Command Line

datasciencecoursera

For the Data Scientists Toolbox course

datasharing

The Leek group guide to data sharing

elasticsearch

Open Source, Distributed, RESTful Search Engine

jupyter-ai

A generative AI extension for JupyterLab

kano-apps

Launcher for different utilities

ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

midas

Innovation platform and collaboration marketplace

mls-scraper

scrapes real estate listings from realtor.ca

msai

Microsoft AI

pydata_aug2016

Presentation for PyData Calgary August 2016 meetup

ray

A fast and simple framework for building and running distributed applications.

realtor.ca-api

Pulls data from realtor.ca API

realtor_ca_scraper

scripts to request and structure realtor.ca data from their api

realtorca

API wrapper for realtor.ca MLS website

scikit-learn

scikit-learn: machine learning in Python

spoon-knife

This repo is for demonstration purposes only.

sql

T- SQL simple scripts for MS SQL

statistical-analysis-python-tutorial

Statistical Data Analysis in Python

test_repo

test repo for data science course

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

toolbox

For the Data Scientists Toolbox course

tourdefrance

vba

VBA code used in excel