zschuster Goto Github PK

advanced_r

Personal answers to Advanced R exercises

anomalize

Tidy anomaly detection

bitcoin-ticker-flutter

Starter code for the Bitcoin-Ticker challenge from the Complete Flutter Development Bootcamp

bmi-calculator-flutter

Learn to Code While Building Apps - The Complete Flutter Development Bootcamp

clima-flutter

Starter code for the Clima Project from the Complete Flutter Development Bootcamp

cypress-realworld-testing

Next.js project for learn.cypress.io

dbscan

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

destini-challenge-starting

Starter code for the Destini Project from the Complete Flutter Development Bootcamp

dicee-flutter

Starter code for the Dicee project in the Complete Flutter Bootcamp

dmwr

Following and reproducing Data Mining with R by Luis Torgo

dummy_api

flash-chat-flutter

Learn to Code While Building Apps - The Complete Flutter Development Bootcamp

i_am_rich

Creating Flutter apps from teachable course

i_am_zen

basic flutter app for learning purposes

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

javascript30

30 Day Vanilla JS Challenge

kaggle.aviation

Reducing airplane fatalities by predicting the state of pilots

kaggle.pkg.aviation

Reducing Commercial Aviation Fatalities

kedro

A Python library that helps you create reproducible, maintainable and modular data science code.

magic-8-ball-flutter

Starter code for the Dicee project in the Complete Flutter Bootcamp

mastering-tensorflow-1x

Mastering TensorFlow 1x, published by Packt

mi_card_flutter

Starter code for the Mi Card Project from the Complete Flutter Development Bootcamp

multivariatedatamining

UTK BZAN 552 coursework

navigation-flutter-demo

nyse_stock_prediction

personal-website

Personal Portfolio Website

practice_iq

Flutter app for creating effective practice sessions

predicting_housing_prices

Kaggle Competition "House Prices: Advanced Regression Techniques"

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pythonml

Following along through "Python Machine Learning" by Sebastian Raschka