Karthikeyan Sankaran's repositories
Cookbook
The Data Engineering Cookbook
insight
Repository for Project Insight: NLP as a Service
katacoda-scenarios
Katacoda Scenarios
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
deploy-heroku
Deploy an Image Classification Model on Heroku
GitGitHubMasterClass
GitHub Master Class from Udemy
devops-master-class
Devops Tutorial for Beginners Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
testing-and-monitoring-ml-deployments
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
featexp
Feature exploration for supervised learning
shap
A unified approach to explain the output of any machine learning model
cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
navigate-data-science
Code related to my talk on 'Navigating the Data Science World'
categorical-encoding
A library of sklearn compatible categorical variable encoders
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
h2o-meetups
Presentations from H2O meetups & conferences by the H2O.ai team
h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
mli-resources
Machine Learning Interpretability Resources
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
awesome-rl
Reinforcement learning resources curated
ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
jupyter
Jupyter metapackage for installation, docs and chat
h2o_tutorials
Slides and code examples for H2O tutorials at various events
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
ipython-notebooks
A collection of IPython notebooks covering various topics.
pandas-pipelines-custom-transformers
Material for Talk at PyData Seattle 2017