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altair

Declarative statistical visualization library for Python

angular-node-creditscore

creditscore REST service + Angular client

apiplatform

replaced by organizationContent to support and extend the book published through Packt Publishing & provide general API information - order the book from [Packt](bit.ly/APIP-CS) or Amazon Edit

cloudtestdrive

creditscore-japplication

ddia-references

Literature references for “Designing Data-Intensive Applications”

examples

Example code and files from "Kubernetes: Up and Running"

fortinet-oci-solutions

A set of OCI Terraform Templates for getting you started in Oracle with Fortinet solutions.

function-python-examples

hadoop

Materiały do szkolenia: HADOOP Projektowanie rozwiązań Big Data z wykorzystaniem Apache Hadoop & Family

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.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

helloworld

how-machine-learning-works

The code for How Machine Learning Works, Manning Publications

isl-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

javainoneday

Java SE I exam prep

learning-spark

Example code from Learning Spark book

maven-simple

myjenkinstest

mypythonsefldev

nn-grocery-shelves

Recognition of product positions on shelf images using neural networks

oci-book

Practical Oracle Cloud Infrastructure - code snippets and source code

play_git

practical-docker

Demo code for my O'Reilly "Practical Docker" presentation

pwproject

repo

sklearn_tutorial

Materials for my scikit-learn tutorial

spark_databrick

sparkml

Spark ML with pyspark