kcemenike/datascienceonAWSAugust

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Created about 4 years ago
Updated about 4 years ago

kcemenike/datascienceonAWSAugust

kcemenike

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MachineLearningPython.JerryKurata

Jupyter Notebook

inec-cvr-data-collector

The INEC CVR Data Collector

ansible-challenge

operationalize-ml

The Operationalize ML project contains a Machine Learning Microservice, built on Scikit-Learn. It contains a model that predicts house prices in Boston according to several features, such as average rooms in a home and data about highway access, teacher-to-pupil ratios, and so on. You can read more about the data, which was initially taken from Kaggle, on the data source site.

hangme

I am a bad guy, and I am to die by hanging, however, the only way to successfully hang me is to guess the word in my head,one letter at a time, in a specified number of tries. Can you #hangme?

Jupyter Notebook

app-autodeploy

Blue-green deployment with Cloudfront, CloudFormation, CircleCI and Ansible

django-progressive-web-app

Converting a simple django appliaction to a progressive web app with IndexedDB local storage

simple_bookstore

UdaciFitness

A fitness app built with React Native and Redux, built as part of the React Udacity Nanodegree

PyDataCo_training

Python Bootcamp with PythonNigerian and ParadigmInitiative - first project

ReactBudgetTracker

sql_for_ds

rnd-flashcard

FlaskApp-to-kubernetes-eks

Containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.

serverless-todo