SaschaDittmann / machine-learning-in-practiceLinks
Examples of how machine learning and deep learning can be applied in practice
☆12Updated 2 years ago
Alternatives and similar repositories for machine-learning-in-practice
Users that are interested in machine-learning-in-practice are comparing it to the libraries listed below
Sorting:
- Forecast the US demand for electricity☆100Updated 3 years ago
- ☆80Updated last year
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆216Updated last year
- A summary dashboard of the covid19 cases in Italy☆78Updated 2 years ago
- Applied Time Series Analysis and Forecasting☆169Updated 2 years ago
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆246Updated 4 months ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆147Updated this week
- Public repo for the Data Science Dojo YouTube tutorial series "Introduction to Text Analytics with R".☆158Updated 5 years ago
- 📍 Interactive Studio for Explanatory Model Analysis☆333Updated 2 years ago
- Para crear una imagen Docker de Shiny y subirla a Google Cloud sin morir en el intento.☆14Updated 3 years ago
- R interface to fast.ai☆118Updated 6 months ago
- Speed Up Exploratory Data Analysis (EDA)☆139Updated last year
- Customer Churn Shiny Application☆98Updated 5 years ago
- Trees are all you need☆113Updated last year
- Azure Machine Learning SDK for R☆104Updated 2 years ago
- Create Shiny application with model exploration from explainers☆19Updated 4 years ago
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆84Updated last year
- Hands-On-Time-Series-Analysis-with-R☆38Updated 6 years ago
- A demo of an end-to-end machine learning pipeline, using Posit Connect☆101Updated 6 months ago
- Code for 30DayChartChallenge☆35Updated 4 years ago
- ☆223Updated 5 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.☆192Updated last week
- A guide for deploying Shinylive Python application into Github Pages