shockwave22

shockwave22's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  307k8.8k47276.9k

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.1k2.3k1159.9k

• jtoy/awesome-tensorflow

  TensorFlow - A curated list of dedicated resources http://tensorflow.org

  17.2k934123k

• andkret/Cookbook

  The Data Engineering Cookbook

  13.8k5371352.5k

• mikesprague/udacity-nanodegrees

  :mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula

  6.2k476262.2k

• RodneyShag/HackerRank_solutions

  317 efficient solutions to HackerRank problems

  Language:Java2.7k220131.5k

• GoogleCloudPlatform/cloudml-samples

  Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

  Language:Python1.5k99207855

• udacity/DSND_Term2

  Contains files related to content and project of DSND Term 2

  Language:Jupyter Notebook1.1k68161.7k

• larsgeorge/hbase-book

  Contains the code used in the HBase: The Definitive Guide book.

  Language:Java90811413568

• vinija/LeetCode

  Language:Python2117054

• alistairewj/sepsis3-mimic

  Evaluation of the Sepsis-3 guidelines in MIMIC-III

  Language:Jupyter Notebook188171780

• abulbasar/machine-learning

  notebooks with example for machine learning examples

  Language:Jupyter Notebook6117097

• jasonjjchen/Web_Scraping-WebMD_Scrapy

  WebMD scraping, data exploration, and jupyter app for NYCDSA Project 2

  Language:Jupyter Notebook115110

• shawnhero/ICDM2013-Expedia-Recommendation-System

  cs249_Parker_Proj1

  Language:R103015

• Sapphirine/real-time-sepsis-prediction

  E6893 Final Project for egm2143, djf2150, and kr2741

  Language:Jupyter Notebook61404

• qianmx/Expedia-Hotel-Recommendations

  Predict the likelihood a user will stay at 100 different hotel groups.

  Language:Python51

• GNLN/Recommender-System

  Built a Hotel Recommender System using Expedia Data with Pyspark, SparkSQL, SparkR and AWS backend

  Language:HTML2

• DeepakRavi/courses

  Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

  Language:HTML1201

• DeepakRavi/python-books

  This is some of my Python technical books collection

  1200

• TCSS-555-Machine-Learning/Project-2-Length-Of-Stay

  Sepsis is a potentially life-threatening condition that is one of the most common problems that arises after hospitalizations. This condition arises when the body's response to infection causes injury to its own tissues and organs. Sepsis can be classified into different types depending upon the severity of the disease. Thus, risk of death from sepsis is as high as 30%, from severe sepsis as high as 50%, and from septic shock as high as 80%. In this project, we will be concentrating on predicting if a patient will develop Sepsis in general. Identifying Sepsis early on using machine learning models can greatly improve the quality of life for patients and potentially save millions of lives.

  Language:Jupyter Notebook12