Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

This repository contains some sample notebooks illustrating the use of DataRobot and SageMaker

`databricks-utils` is a python package that provide several utility classes/func that improve ease-of-use in databricks notebook.

Project with AWS CloudFormation templates to provision SageMaker notebooks setup to work with fast.ai

Personal guide and examples to learn and use AWS SageMaker to deploy your ML model at scale.

SageMaker-ready jupyter notebook for Machine Learning social media digestion.

Bash Script that helps you deploy Jupyter Notebook on AWS EC2 Instance

Generates a Vagratn box using Packer to have Java and Zeppelin installed in the correct version to use with AWS Glue development endpoint as the tutorial needs: https://docs.aws.amazon.com/glue/latest/dg/dev-endpoint-tutorial-local-notebook.html

ML pipeline for NIS data to ingest, transform, and build machine learning model

This project is intended to use Amazon's SageMaker platform, it is assumed to have a working notebook instance which can be used to clone the deployment repository.

Various Template Notebooks for Deploying ML models with Amazon Sagemaker

This repository contains all the assignment notebooks of the course, AWS Computer Vision: Getting Started with GluonCV.

Deploying a Sentiment Analysis Model on Amazon Sagemaker which consists of deploying a Sentiment Analysis model using Recurrent Neural Networks in the Amazon AWS SageMaker tool. The notebook and Python files provided here result in a simple web application which interacts with a deployed recurrent neural network performing sentiment analysis on …

my notes

Schedule start/stop for your SageMaker notebook instances.

Kubernetes on AWS EKS

Example notebooks that show how to use VITech Lab SageMaker Models & Algorithms to apply machine learning and deep learning in Amazon SageMaker

Jupyter notebooks to help team members utilize AWS SageMaker tools

This repository contains files and notebooks associated with learning AWS Cloud Services.

This repository contains the jupyter notebooks and the python code for creating and deploying a sentiment analysis model using Amazons Sagemaker library and the AWS cloud.