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Name: Andres Cardona
Type: User
Company: Internodes Consulting
Location: Berlin
Name: Andres Cardona
Type: User
Company: Internodes Consulting
Location: Berlin
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Code for Applied Text Analysis with Python
Automated Machine Learning with scikit-learn
A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.
Blueprints and examples for Lambda-based custom Authorizers for use in API Gateway.
Baycomp is a library for Bayesian comparison of classifiers
Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
Machine learning infrastructure platform for developers
Python library for building highly effective data science workflows
Cheat Sheets
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Deployment Manager samples and templates.
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
Easy word clouds in Google Data Studio
Plotting data on google maps, the easy (stupid) way.
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Notebooks and code for the book "Introduction to Machine Learning with Python"
A collection of helpers for Jupyter/IPython
Lime: Explaining the predictions of any machine learning classifier
Linear models including instrumental variable estimators and panel data models
Use the example notebooks in this repo to explore the Azure Machine Learning service.
Maximum A Posteriori Classifier
Modin: Speed up your Pandas workflows by changing a single line of code
Tools for diffing and merging of Jupyter notebooks.
Code and slides from a 2016 talk at the Cambridge UK RUG
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.