sethah

Data-Science-Resources

A collection of data science resources, tools, and notes that I find handy

CycleAnalysis

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

blog

Ghost blog about data science

breeze

Breeze is a numerical processing library for Scala.

cbb-outcome

Predicting college basketball outcomes using machine learning

deep-learning-for-big-crisis-data

incubator-systemml

Mirror of Apache SystemML (Incubating)

jetpack

LogisticPerfTest

org_ncaa

A utility for working with stats.ncaa.org college basketball data

pbp

progFun

pymc3

Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.

scala

The Scala programming language

scala-coursera

Scala-Tutorial

scikit-learn

scikit-learn: machine learning in Python

sethah.github.io-src

spark-neighbors

Spark-based approximate nearest neighbor search using locality-sensitive hashing

spark-perf

Performance tests for Spark

spark-sklearn

Integration of Spark ML pipeline API with scikit-learn

spark-structured-streaming-ml

Structured Streaming Machine Learning example with Spark 2.0