sfarHD14

Pinned Repositories

aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
Language:Scala00
ab-framework
Notes and Python scripts for A/B or Split Testing
Language:Jupyter Notebook00
ab-stats
A presentation explaining the statistics behind AB-testing using live simulations
Language:JavaScript00
algorithmic-examples
Algorithmic Marketing Models
Language:Jupyter Notebook00
APM_Exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
00
arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
Language:Jupyter Notebook00
ART-Forum-2017-Stan-Tutorial
Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
Language:HTML00
Bambi_resources
Educational resources
Language:Jupyter Notebook00
BAP
Bayesian Analysis with Python
Language:Jupyter Notebook00
baseball
Baseball data analysis in Python
Language:Jupyter Notebook00

sfarHD14's Repositories

sfarHD14/aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
Language:Scala00
sfarHD14/ab-stats
A presentation explaining the statistics behind AB-testing using live simulations
Language:JavaScript00
sfarHD14/ART-Forum-2017-Stan-Tutorial
Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
Language:HTML00
sfarHD14/Bambi_resources
Educational resources
Language:Jupyter Notebook00
sfarHD14/baseball
Baseball data analysis in Python
Language:Jupyter Notebook00
sfarHD14/bayes-workflow-book
Source files for the book "Bayesian Workflow Using Stan"
sfarHD14/Bayesian-Analysis-with-Python-Second-Edition
Bayesian Analysis with Python - Second Edition, published by Packt
sfarHD14/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
sfarHD14/BDS
Code and examples from Business Data Science
Language:HTML1 0
sfarHD14/causalml
Uplift modeling and causal inference with machine learning algorithms
sfarHD14/cmdstanpy
CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.
sfarHD14/ctci
Cracking the Coding Interview, 5th Edition
Language:Java
sfarHD14/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
Language:Python
sfarHD14/Databricks-Apache-Spark-2X-Certified-Developer
Databricks - Apache Spark™ - 2X Certified Developer
sfarHD14/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
sfarHD14/empirical-bayes-book
Introduction to Empirical Bayes: Examples from Baseball Statistics
sfarHD14/gp_regression
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
sfarHD14/hello-world
GitHub guides hello-world tutorial
sfarHD14/jupyter-dash
Develop Dash apps in the Jupyter Notebook and JupyterLab
sfarHD14/Learning-PySpark
Code repository for Learning PySpark by Packt
Language:Jupyter Notebook
sfarHD14/mcmc_pydata_london_2019
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
sfarHD14/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Language:Jupyter Notebook
sfarHD14/pydata-seattle-2017
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
sfarHD14/Python-programming-exercises
100+ Python challenging programming exercises
sfarHD14/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
sfarHD14/QB_Bayes_Course
3-day course on Bayesian methods in Python for QuantumBlack
sfarHD14/rstanarm
rstanarm R package for Bayesian applied regression modeling
sfarHD14/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
Language:Scala
sfarHD14/Statistical-Modeling-Examples
Basic statistical modelling examples.
sfarHD14/statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"