Pinned Repositories
Azure-TDSP-Utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
BlockchainProgramming
Certificates
coal-exploration
coursera-stanford
Stanford
Dapper-Extensions
Dapper Extensions is a small library that complements Dapper by adding basic CRUD operations (Get, Insert, Update, Delete) for your POCOs. For more advanced querying scenarios, Dapper Extensions provides a predicate system. The goal of this library is to keep your POCOs pure by not requiring any attributes or base class inheritance.
data-baby-names
Distribution of US baby names, 1880-2008
data-pipelines-course
Course materials for my data pipeline video course with O'Reilly
data-scientists-guide-apache-spark
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
segxy's Repositories
segxy/Azure-TDSP-Utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
segxy/BlockchainProgramming
segxy/Certificates
segxy/coal-exploration
segxy/coursera-stanford
Stanford
segxy/Dapper-Extensions
Dapper Extensions is a small library that complements Dapper by adding basic CRUD operations (Get, Insert, Update, Delete) for your POCOs. For more advanced querying scenarios, Dapper Extensions provides a predicate system. The goal of this library is to keep your POCOs pure by not requiring any attributes or base class inheritance.
segxy/data-baby-names
Distribution of US baby names, 1880-2008
segxy/data-pipelines-course
Course materials for my data pipeline video course with O'Reilly
segxy/data-scientists-guide-apache-spark
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
segxy/datasciencecoursera
data science coursera
segxy/go
The Open Source Data Science Masters
segxy/h2o-3
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)
segxy/IntroToDataScience
GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.
segxy/iris-flower-exploration
segxy/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
segxy/Mail-Classifier
A content aware mail classifier
segxy/NakedTensor
Bare bottom simplest example of machine learning in TensorFlow.
segxy/profit-exploration
segxy/samplemod
Sample module for Python-Guide.org.
segxy/samples-python-flask
Python/Flask samples
segxy/Slide-Rule
Slide Rule Intensive Data Science
segxy/spark-sklearn-airbnb-predict
Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark with spark-sklearn, on MapR.
segxy/spark-tdd-example
A simple Spark TDD example
segxy/spark-testing-base
Base classes to use when writing tests with Spark
segxy/stormpath-aspnet-webapi-bearer-example
Example of using Stormpath to secure Web API with Bearer JWTs
segxy/stormpath-csharp-cli-example
An example that demonstrates how to use Stormpath build a Console application in C#. Stormpath enables developers to build user authentication, user management, and security workflows quickly into their apps.
segxy/test
segxy/vertical-medical
Open Source Health care system
segxy/webApiAuthenticationSamples
Samples on how to use filters to authenticate ASP .Net Web Api 2
segxy/wine-exploration