Preliminary Analysis of COVID-19 Patient-Level Data
Here’s a post analyzing some available COVID-19 patient-level data. This code is also published online.
Probability Distributions for Schedule Risk Analysis
Here’s a post about some of the fundamental probability distributions used in Schedule Risk Analysis. After understanding these distributions and how to code them up in Python, the power of improving your project schedules is at your finger tips!
Pose Estimation with Deep Learning
Here’s an easy way to do pose estimation with Yolo and High-Resolution Networks using Docker containers. What are the implications of such power at your finger tips? Imagine you are in sports science. Would it not be great to learn and teach athletes how the motion of their movement impacts […]
Hadoop + Spark + Python Docker Container
If you want to learn Hadoop, Spark and Python (PySpark), we have published a Docker container to facilitate your learning efforts. The source code is available on GitHub and the container is published on Docker Hub. An example notebook is provided to get you jump started as well (see below).
Fun datasets for object detection
Here are two datasets, Mario and Polygons, that you may use for object detection algorithms such as Darknet and Darkflow.
Convolutional Neural Network for image classifications
Use this docker image to experiment with all of Pytorch’s convolutional neural networks (CNNs) on your own image classification problems.
Data Science on a RaspberryPi
Use this docker container on a RaspberryPi to apply data science with Scikit-Learn with your own data.
Natural Language Processing on a RaspberryPi
Use this docker container on a RaspberryPi to learn Natural Language Processing (NLP).
Jupyter Lab on a RaspberryPi
Use this docker container with Jupyter Lab on a RaspberryPi.
Deep Learning with the RaspberryPi
Use this docker container with Tensorflow on a RaspberryPi for Deep Learning.