Jonas Schröder JonasSchroeder
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JonasSchroeder
/ meta-learner.ipynb
Created
September 7, 2023 06:51
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JonasSchroeder
/ train_test_performance_2022-12-03.csv
Created
December 4, 2022 13:33
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| symbol | r2_train | rsme_train | mape_train | r2_test | rsme_test | mape_test | N_steps | method | |
|---|---|---|---|---|---|---|---|---|---|
| MMM | 0.9801237873137407 | 2.7130839330905596 | 0.012027681791123911 | 0.8187130706085194 | 4.466932673016484 | 0.030002371694127703 | 7 | train_model | |
| MMM | 0.9808254358540457 | 2.664766513897708 | 0.012025008398716801 | 0.9417655986613341 | 2.531721721713469 | 0.014459712942955227 | 7 | train_model_3 | |
| MMM | 0.9789998561437275 | 2.729023317297847 | 0.012009889804084089 | 0.8750666663427211 | 4.0142451462123505 | 0.02642681972308712 | 25 | train_model | |
| MMM | 0.9798283218912582 | 2.674651028851126 | 0.012119963345115161 | 0.9451829587670492 | 2.659025620679782 | 0.015445076816040926 | 25 | train_model_3 | |
| MMM | 0.9779435877068695 | 2.6082873075221884 | 0.011833425685985624 | 0.6390331323417517 | 4.139568850691674 | 0.029122755695490263 | 63 | train_model | |
| MMM | 0.9765286956913078 | 2.6906462584159674 | 0.012565494122849914 | 0.9016935056140218 | 2.1602924340433294 | 0.0139408753380589 | 63 | train_model_3 | |
| ATVI | 0.9888805366434964 | 1.6269688793084482 | 0.017390709478937474 | 0.8777931863197639 | 0.9793038944087219 | 0.010181303308566895 | 7 | tr |
JonasSchroeder
/ Corona Dashboard for European Countries (Shiny App).R
Created
March 28, 2020 14:08
Corona Dashboard for European Countries in a Shiny App based on data from Johns Hopkins
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| #--------------------------------------------------------------------------------------------------------------- | |
| # Corona / COVID-19 Shiny App Dashboard for European Countries based on Data from Johns Hopkins | |
| # | |
| # Author: Jonas Schröder | |
| # | |
| # Medium: https://medium.com/@jonas.schroeder1991 | |
| # Github: https://github.com/JonasSchroeder | |
| # Twitter: https://twitter.com/J_Schroeder91 | |
| # LinkedIn: https://www.linkedin.com/in/jonas-schröder-914a338a/ | |
| # |
JonasSchroeder
/ Corona Dashboard Part 1 - Fetch Data from ECDC.R
Last active
March 28, 2020 14:10
Featured in this medium article: "A Beginner’s Guide to Creating a Corona “Dashboard” (Part 1)" https://medium.com/@jonas.schroeder1991/a-beginners-guide-to-creating-a-corona-dashboard-3553b01d8d44
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| # Data gathered from European Center for Disease Prevention and Control | |
| # https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide | |
| # Note: Number of cases per day may differ from other sources; cases might be moved from one day to another | |
| library(readxl) | |
| library(httr) | |
| # Define date of data pull (may set date to current date) | |
| url <- paste("https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide-", "2020-03-22", ".xlsx", sep = "") |
JonasSchroeder
/ Corona Dashboard Part 1.R
Last active
March 28, 2020 14:11
Featured in this medium article: "A Beginner’s Guide to Creating a Corona “Dashboard” (Part 1)" https://medium.com/@jonas.schroeder1991/a-beginners-guide-to-creating-a-corona-dashboard-3553b01d8d44
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| # Data gathered from European Center for Disease Prevention and Control | |
| # https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide | |
| # Note: Number of cases per day may differ from other sources; cases might be moved from one day to another | |
| # Author: Jonas Schröder https://medium.com/@jonas.schroeder1991 | |
| library(readxl) | |
| library(httr) | |
| library(tidyverse) | |
| library(dplyr) | |
| library(ggpubr) |
JonasSchroeder
/ deep-learning-fundamentals.ipynb
Last active
December 30, 2019 07:32
Deep Learning Fundamentals
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JonasSchroeder
/ introduction-to-neural-networks.ipynb
Created
December 27, 2019 21:24
Introduction to Neural Networks
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JonasSchroeder
/ simple-pytorch-example.ipynb
Created
December 27, 2019 20:32
Simple PyTorch Example
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JonasSchroeder
/ feature-engineering.ipynb
Created
December 24, 2019 10:02
Feature Engineering.ipynb
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JonasSchroeder
/ machine-learning-with-scikit-learn.ipynb
Created
December 23, 2019 09:13
Machine Learning with Scikit-Learn.ipynb
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