Pinned Repositories
airflow_jenkins_test
awesome-selfhosted
This is a list of Free Software network services and web applications which can be hosted locally. Selfhosting is the process of locally hosting and managing applications instead of renting from SaaS providers.
bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
EDA-Coursera
John Hopkins EDA Course
go
The Open Source Data Science Masters
instacart-basket-prediction
Kaggle | Instacart Market Basket Analysis🥕🥉
kaggle-web-traffic
1st place solution
Machine-Learning-and-Reinforcement-Learning-in-Finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
MLCapstone
Machine Learning Engineer Nanodegree - Capstone Project
robinekenheim's Repositories
robinekenheim/airflow_jenkins_test
robinekenheim/awesome-selfhosted
This is a list of Free Software network services and web applications which can be hosted locally. Selfhosting is the process of locally hosting and managing applications instead of renting from SaaS providers.
robinekenheim/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
robinekenheim/Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
robinekenheim/EDA-Coursera
John Hopkins EDA Course
robinekenheim/go
The Open Source Data Science Masters
robinekenheim/instacart-basket-prediction
Kaggle | Instacart Market Basket Analysis🥕🥉
robinekenheim/kaggle-web-traffic
1st place solution
robinekenheim/Machine-Learning-and-Reinforcement-Learning-in-Finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
robinekenheim/MLCapstone
Machine Learning Engineer Nanodegree - Capstone Project
robinekenheim/Personae
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
robinekenheim/presentation-bsts
Presentations about Bayesian structural times series + code
robinekenheim/python-cheatsheet
Comprehensive Python Cheatsheet
robinekenheim/resources
PyMC3 educational resources
robinekenheim/RL-Adventure-2
PyTorch4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
robinekenheim/shap
A unified approach to explain the output of any machine learning model.
robinekenheim/Slack-Welcome-Bot
robinekenheim/starter-python-bot
A simple Beep Boop ready starter project in Python
robinekenheim/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
robinekenheim/tensorrec
A TensorFlow recommendation algorithm and framework in Python.
robinekenheim/Thesis
Blekinge Institute of Technology - Master Thesis
robinekenheim/udacity-driving-reader
Quick docker based reader for udacity rosbag self-driving dataset. Dumps to png/jpg + csv or Tensorflow examples.
robinekenheim/Udacity-Machine-Learning-Nanodegree
All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.