Git Product home page Git Product logo

Andrew Carl's Projects

data-analysis-tca19 icon data-analysis-tca19

Algorithms for Data Analysis course materials, composed of slides and Jupyter notebooks for practical sessions.

data-analysis-with-r icon data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-and-databases icon data-and-databases

Repository for course materials related to Data and Databases. (Supercedes directories in "courses" repo)

data-integration icon data-integration

A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

data-linter icon data-linter

The Data Linter identifies potential issues (lints) in your ML training data.

data-mining icon data-mining

Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

data-mining-pku icon data-mining-pku

Instruction of assignment in course "Data Warehousing and Data Mining Technology", Spring and Summer Semester, 2017.

data-police-shootings icon data-police-shootings

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 icon data-polygamy

Data Polygamy is a topology-based framework that allows users to query for statistically significant relationships between spatio-temporal data sets.

data-science-45min-intros icon data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-science-ipython-notebooks icon data-science-ipython-notebooks

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.

data-science-on-gcp icon data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

data-science-primer icon data-science-primer

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/

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.