derbuhlert's repositories

Language:RStargazers:0Issues:0Issues:0

bike_predict

A demo of an end-to-end machine learning pipeline, using RStudio Connect

Language:RStargazers:0Issues:0Issues:0

Code-snippets

Collection of useful code for data projects

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

customer-tracker

R data products: Reports, Presentations, Apps, and API's

Language:RLicense:Apache-2.0Stargazers:0Issues:0Issues:0

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

databookuw.jl

Julia Pluto notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

Language:JuliaStargazers:0Issues:0Issues:0

DataScience

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

db-dashboard

Project files of the article featured here: http://db.rstudio.com/best-practices/dashboards/

Language:JavaScriptLicense:Apache-2.0Stargazers:0Issues:0Issues:0

fastest-lap

Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:MathematicaStargazers:0Issues:0Issues:0

hyper-api-samples

Sample code to get started with the Hyper API.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

House-price-prediction-using-flask

Model deployment with flask api, using Linear Regression to predict the price value. Deploy ML Models Using Flask to take your models from python to production.

License:MITStargazers:0Issues:0Issues:0

jarvis2

Awesome dashboard built with Flask and Mithril

License:MITStargazers:0Issues:0Issues:0

JuliaDataScience

Book on Julia for Data Science

License:NOASSERTIONStargazers:0Issues:0Issues:0

latex-homework-template

🎓📄 The LaTeX file that I used as the base for all my homework in university.

License:MITStargazers:0Issues:0Issues:0

Linear-Algebra-and-Learning-from-Data

Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT

Stargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0

machine_learning_basics

Plain python implementations of basic machine learning algorithms

License:MITStargazers:0Issues:0Issues:0

MML-Companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

Stargazers:0Issues:0Issues:0

oreilly_essential_math_for_data_science_book

Book code for "Essential Math for Data Science"

Stargazers:0Issues:0Issues:0

plane-notify

Notify If a selected plane has taken off or landed using OpenSky or ADS-B Exchange data. Compares older data to newer data to determine if a landing or takeoff has occurred. As well as nav modes, emergency squawk and resolution advisory notifications. Can output to Twitter, Discord, and Pushbullet

License:GPL-3.0Stargazers:0Issues:0Issues:0

PRML

PRML algorithms implemented in Python

License:MITStargazers:0Issues:0Issues:0

python-pentest-tools

Python tools for penetration testers

License:MITStargazers:0Issues:0Issues:0

Solve-classic-mechanics-problems-with-python

Solve classic mechanics problems with python, Solve problems of Static, Dynamics, Work, Energy, Kinematics, with Atb python library

Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

tc

A command-line twitter client with smart filtering and statistical classification

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

VMLS-Companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

Stargazers:0Issues:0Issues:0