Lists (6)
Stars
Hyprland rice for the summer themed competition
A library for training and deploying machine learning models on Amazon SageMaker
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
Orchestrate k-fold cross validated SageMaker training jobs on Amazon Web Services infrastructure
Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.
Machine Learning with Amazon SageMaker Cookbook, published by Packt
Machine Learning Engineering on AWS, published by Packt
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
This project collects daily temperature data for Los Angeles from the Open-Meteo API for April through May 2024
GUI file synchronization client that can sync with any cloud provider
Free Data Engineering course!
A curated list of data engineering tools for software developers
Learn Amazon SageMaker - Second Edition, published by Packt
Notes on Apache Spark (pyspark)
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
Python Feature Engineering Cookbook, published by Packt
A file explorer tree for neovim written in lua
A curated list of references for Amazon SageMaker