Pinned Repositories
40-Algorithms-Every-Programmer-Should-Know
40 Algorithms Every Programmer Should Know, published by Packt
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
ai-memo
AI Memo transcript
algo-trading-book
Algorithmic and high-frequency trading book
caffe
Caffe: a fast open framework for deep learning.
cs230-project
Deep Reinforcement Learning Framework for Factor Investing
kubeflow
Machine Learning Toolkit for Kubernetes
python-cheatsheet
Comprehensive Python Cheatsheet
workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
PierreNowi's Repositories
PierreNowi/algo-trading-book
Algorithmic and high-frequency trading book
PierreNowi/alphalens
Performance analysis of predictive (alpha) stock factors
PierreNowi/Apache-Spark-Deep-Learning-Cookbook
Apache Spark Deep Learning Cookbook, published by Packt
PierreNowi/Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
PierreNowi/deep_learning_cookbook
Deep Learning Cookbox
PierreNowi/DevOps-with-Kubernetes
DevOps with Kubernetes, published by Packt
PierreNowi/DevOps-with-Kubernetes-Second-Edition
Published by Packt
PierreNowi/Django-3-Web-Development-Cookbook-Fourth-Edition
Django 3 Web Development Cookbook Published by Packt
PierreNowi/download-stock
Download market quotes with R
PierreNowi/Effective-DevOps-with-AWS
Effective DevOps with AWS, published by Packt
PierreNowi/Effective-DevOps-with-AWS-Second-Edition
Effective DevOps with AWS Second Edition, published by Packt
PierreNowi/examples-1
Example code and files from "Kubernetes: Up and Running"
PierreNowi/feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
PierreNowi/gs-quant
Python toolkit for quantitative finance
PierreNowi/ids-706-fp
PierreNowi/intro-to-ml-with-kubeflow-examples
[WIP] Examples for the Intro to ML with Kubeflow book
PierreNowi/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
PierreNowi/Learning-Neo4j-3x-Second-Edition
Learning Neo4j 3.x - Second Edition, published by Packt
PierreNowi/LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
PierreNowi/Machine-Learning-for-Algorithmic-Trading-Second-Edition-1
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
PierreNowi/Mastering-Machine-Learning-with-Spark-2.x
Mastering Machine Learning with Spark 2.x, published by Packt
PierreNowi/Mastering-Spark-for-Data-Science
Mastering Spark for Data Science, published by Packt
PierreNowi/NGINX-Cookbook
NGINX Cookbook, published by Packt
PierreNowi/Pandas-Cookbook-Second-Edition
Pandas Cookbook Second Edition, published by Packt
PierreNowi/pyfolio
Portfolio and risk analytics in Python
PierreNowi/scikit-learn-Cookbook-Second-Edition
scikit-learn Cookbook Second Edition, published by Packt
PierreNowi/sentiment-service
PierreNowi/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
PierreNowi/trading-strategies
Simple trading strategies implementations
PierreNowi/zipline
Zipline, a Pythonic Algorithmic Trading Library