Pinned Repositories
AnalyticsVidhya_SeersAccuracy
Seers Accuracy competition on Analytics Vidhya
awesome-datascience
An awesome Data Science repository to learn and apply for real world problems.
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
awesome-rl
Reinforcement learning resources curated
bayesianprobabilitiesworkshop
A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
devops-master-class
Devops Tutorial for Beginners Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
mli-resources
Machine Learning Interpretability Resources
testing-and-monitoring-ml-deployments
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
skkeyan's Repositories
skkeyan/awesome-rl
Reinforcement learning resources curated
skkeyan/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
skkeyan/devops-master-class
Devops Tutorial for Beginners Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
skkeyan/mli-resources
Machine Learning Interpretability Resources
skkeyan/testing-and-monitoring-ml-deployments
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
skkeyan/categorical-encoding
A library of sklearn compatible categorical variable encoders
skkeyan/competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
skkeyan/Cookbook
The Data Engineering Cookbook
skkeyan/cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
skkeyan/deploy-2-inschargesprediction
skkeyan/deploy-heroku
Deploy an Image Classification Model on Heroku
skkeyan/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
skkeyan/featexp
Feature exploration for supervised learning
skkeyan/GitGitHubMasterClass
GitHub Master Class from Udemy
skkeyan/h2o-meetups
Presentations from H2O meetups & conferences by the H2O.ai team
skkeyan/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
skkeyan/h2o_tutorials
Slides and code examples for H2O tutorials at various events
skkeyan/insight
Repository for Project Insight: NLP as a Service
skkeyan/ipython-notebooks
A collection of IPython notebooks covering various topics.
skkeyan/jupyter
Jupyter metapackage for installation, docs and chat
skkeyan/katacoda-scenarios
Katacoda Scenarios
skkeyan/ML_Casestudies
skkeyan/navigate-data-science
Code related to my talk on 'Navigating the Data Science World'
skkeyan/pandas-head-to-tail
skkeyan/pandas-pipelines-custom-transformers
Material for Talk at PyData Seattle 2017
skkeyan/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 ;)
skkeyan/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
skkeyan/shap
A unified approach to explain the output of any machine learning model
skkeyan/ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
skkeyan/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.