Michael Keith (mikekeith52)

mikekeith52

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Location:Salt Lake City, UT

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Michael Keith's repositories

scalecast

The practitioner's forecasting library

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scalecast-examples

Examples of the application of individual scalecast models

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JupyterDashboard

Simple Dashboards with Jupyter

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AllStatesForecast

Code used in Springer Nature/Apress Video Tutorial

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PythonRegression

Code used in Springer Nature/Apress Video Tutorial

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RandomForest

Using Random Forest to predict the presence of heart disease

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LockNRoll

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

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Police-shootings-insights_updated

Are there factors that reveal racial motivation in police-related fatalities?

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dash

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

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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.

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DeepReinforcementLearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

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epftoolbox

An open-access benchmark and toolbox for electricity price forecasting

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FSU_ML

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

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FSU_SQL

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

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housing_prices

Predicting median home prices in a given list of zip codes

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learning-java-2825378

Learning Java (REVISION Q1 2020)

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logos

logos

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M4-methods

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

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MAPIE

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

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my_java

Learning Java

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nics-firearm-background-checks

Monthly data from the FBI's National Instant Criminal Background Check System, converted from PDF to CSV.

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Police-shootings-insights

Can we model racial differences in police-related fatalities?

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python_mk

My python objects

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r_objects

Custom R procedures

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simulate_data

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

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WYNAssociates

This is the official AI-driven solution offered by W.Y.N. Associates. WYN aims to build the best data science lab with the assistance of smart brains and AI-driven technologies for our local and global clients. With the advancement of WYN’s Explainable Artificial Intelligence (XAI) technology, we drive a set of processes and methods that allows hum

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