Pinned Repositories
aws-serverless-workshops
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
Azure-TDSP-ProjectTemplate
Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
Azure-TDSP-Utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
bokeh-notebooks
Interactive Web Plotting with Bokeh in IPython notebook
Brunel
Brunel Visualization
Clickstream-Analysis
A scratchpad to aggregate some clickstream code for the team. Should go private when we deal with more proprietary stuff.
ClickstreamAnalysis
Analyzing Clickstream Data using Markov Chains and data mining SPACE algorithm
ConsensusClustering
Shiny application implementing Consensus Clustering for various clustering algorithms.
luigi
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
washingtonm's Repositories
washingtonm/aws-serverless-workshops
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
washingtonm/bokeh-notebooks
Interactive Web Plotting with Bokeh in IPython notebook
washingtonm/cortex
Deploy your machine learning models to your cloud infrastructure - https://cortex.dev
washingtonm/dask-tutorial
Dask tutorial
washingtonm/Data-Science--Cheat-Sheet
Cheat Sheets
washingtonm/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
washingtonm/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
washingtonm/DOforDSX-MarketingCampaigns-example
washingtonm/fpp2-package
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.
washingtonm/imagenet18_old
Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry
washingtonm/ISL_python
An Introduction to Statistical Learning with Applications in PYTHON
washingtonm/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
washingtonm/kedro
A Python library that implements software engineering best-practice for data and ML pipelines.
washingtonm/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
washingtonm/Market-Mix-Modelling
Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising, Distribution, Pricing) to estimate the impact of various marketing tactics on sales and then forecast the impact of future sets of tactics.
washingtonm/MVC-Node-App-Template
washingtonm/powerbi-macguyver-toolbox
Power BI report .pbip templates and patterns to create special visuals, address specific problems, and have adventures..
washingtonm/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
washingtonm/prework-about-me
washingtonm/pwc
Papers with code. Sorted by stars. Updated weekly.
washingtonm/pydata-docker-tutorial
Tutorial given at PyData LA 2018
washingtonm/reinforcejs
Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)
washingtonm/Responsive-Portfolio
washingtonm/seanabu.github.io
personal blog
washingtonm/Skater
Python Library for Model Interpretation/Explanations
washingtonm/Stats-with-Python
General statistics and numerical/sceintific computing scripts and notebooks in Python
washingtonm/themarketingtechnologist
washingtonm/VivaSolutions
washingtonm/vlainic.github.io
My GitHub blog: things you might be interested, and probably not...
washingtonm/wooldridge
The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.