Pinned Repositories
AllStatesForecast
Code used in Springer Nature/Apress Video Tutorial
JupyterDashboard
Simple Dashboards with Jupyter
LockNRoll
Reinforcement learning with double deep q learning to learn a game with random states
mikekeith52
Police-shootings-insights_updated
Are there factors that reveal racial motivation in police-related fatalities?
PythonRegression
Code used in Springer Nature/Apress Video Tutorial
RandomForest
Using Random Forest to predict the presence of heart disease
scalecast
The practitioner's forecasting library
scalecast-examples
Examples of the application of individual scalecast models
mikekeith52's Repositories
mikekeith52/scalecast
The practitioner's forecasting library
mikekeith52/scalecast-examples
Examples of the application of individual scalecast models
mikekeith52/JupyterDashboard
Simple Dashboards with Jupyter
mikekeith52/AllStatesForecast
Code used in Springer Nature/Apress Video Tutorial
mikekeith52/PythonRegression
Code used in Springer Nature/Apress Video Tutorial
mikekeith52/RandomForest
Using Random Forest to predict the presence of heart disease
mikekeith52/LockNRoll
Reinforcement learning with double deep q learning to learn a game with random states
mikekeith52/mikekeith52
mikekeith52/Police-shootings-insights_updated
Are there factors that reveal racial motivation in police-related fatalities?
mikekeith52/dash
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
mikekeith52/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.
mikekeith52/DeepReinforcementLearning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
mikekeith52/epftoolbox
An open-access benchmark and toolbox for electricity price forecasting
mikekeith52/FSU_ML
My Machine Learning demo to the Florida State Masters of Applied Economics program.
mikekeith52/FSU_SQL
My SQL demo to the Florida State Masters of Applied Economics program.
mikekeith52/housing_prices
Predicting median home prices in a given list of zip codes
mikekeith52/learning-java-2825378
Learning Java (REVISION Q1 2020)
mikekeith52/logos
logos
mikekeith52/M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
mikekeith52/MAPIE
A scikit-learn-compatible module for estimating prediction intervals.
mikekeith52/my_java
Learning Java
mikekeith52/nics-firearm-background-checks
Monthly data from the FBI's National Instant Criminal Background Check System, converted from PDF to CSV.
mikekeith52/Police-shootings-insights
Can we model racial differences in police-related fatalities?
mikekeith52/python_mk
My python objects
mikekeith52/r_objects
Custom R procedures
mikekeith52/School-Shootings-Supervised-Unsupervised-Learning
mikekeith52/simulate_data
Using Boston, which is a dataset of only about 500 records, simulate 29000+ observations with added variables.
mikekeith52/udoh_logo
mikekeith52/WGU
mikekeith52/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