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Hi there šŸ‘‹ I'm Michael

  • šŸ”­ Iā€™m currently working on a time series forecasting library for Python called scalecastšŸŒ„
  • šŸ’¬ Ask me about my student mentorship in Python and Data Science through Great Learning
  • šŸ“« How to reach me: [email protected]
  • šŸ˜„ Pronouns: he/him
  • āš” Fun fact: I once ran the 400 meters in 46.8 seconds.

You can find me on

Michael Keith's Projects

dash icon dash

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

data-police-shootings icon data-police-shootings

The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty in 2015 and 2016.

data-school-shootings icon data-school-shootings

The Washington Post is compiling a database of school shootings in the United States since Columbine.

epftoolbox icon epftoolbox

An open-access benchmark and toolbox for electricity price forecasting

fsu_ml icon fsu_ml

My Machine Learning demo to the Florida State Masters of Applied Economics program.

fsu_sql icon fsu_sql

My SQL demo to the Florida State Masters of Applied Economics program.

locknroll icon locknroll

Reinforcement learning with double deep q learning to learn a game with random states

m4-methods icon m4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

mapie icon mapie

A scikit-learn-compatible module for estimating prediction intervals.

randomforest icon randomforest

Using Random Forest to predict the presence of heart disease

simulate_data icon simulate_data

Using Boston, which is a dataset of only about 500 records, simulate 29000+ observations with added variables.

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