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1week4

Containing the code of my posts on my website https://www.1week4.com

airflow-handson

backtrader-guide-algotrading101

These are the code for the article "Backtrader for Backtesting (Python) – A Complete Guide" on AlgoTrading101's Blog. Article and code are written by Jignesh Davda.

chatbotwidget

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

glochatbot

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

modernbayesianworkflow

An example of Modern Bayesian Workflow

myhook

probabilistic-programming

Experimenting with and teaching probabilistic programming

pymc3_euss

Course in Probabilistic Programming in Python for the 2018 EU Summer School

pymc3_models

rasa

sample code to deploy to heroku

rasa-demo-pydata18

Demo application for the PyData Conference in Amsterdam 2018

rasa-heroku-template

rasa-workshop-pydata-berlin

resources

PyMC3 educational resources

spark

Apache Spark - A unified analytics engine for large-scale data processing

spark-examples

Spark Examples

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

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

udacity-dend-data-pipelines-project

zeppelin-notebooks

Gallery of Apache Zeppelin notebooks