afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Analysis on hospital readmission data for diabetic patients using R and Tableau
Algorithms for Data Analysis course materials, composed of slides and Jupyter notebooks for practical sessions.
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
Repository for course materials related to Data and Databases. (Supercedes directories in "courses" repo)
Data Augmentation using Keras
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
The Data Linter identifies potential issues (lints) in your ML training data.
Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
Quantitative Algobox based on Data Mining techniques
Instruction of assignment in course "Data Warehousing and Data Mining Technology", Spring and Summer Semester, 2017.
Datasets for the open course in data science
The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty in 2015 and 2016.
Data Polygamy is a topology-based framework that allows users to query for statistically significant relationships between spatio-temporal data sets.
Python related videos and metadata powering =>
Library of Data Science classes
Cheat Sheets
:bar_chart: Path to a free self-taught education in Data Science!
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Data Science Algorithms in a Week, published by Packt
A curated list of data science blogs
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Set of data science machine learning notebooks
Data Science Notes
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.