data-umbrella / event-transcriptsLinks
transcripts from our recorded events
☆37Updated last month
Alternatives and similar repositories for event-transcripts
Users that are interested in event-transcripts are comparing it to the libraries listed below
Sorting:
- Companion code repository for the O'Reilly "Python and R for the Modern Data Scientist" book.☆83Updated last year
- Learn Python through Data Processing in Pandas Tutorial☆38Updated 5 years ago
- Content from the University of British Columbia's Master of Data Science course DSCI 511.☆96Updated 2 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆116Updated 2 years ago
- "Actionable Ethics for Data Scientists" Workshop Material @ ODSC☆10Updated last year
- Repository for a workshop on Bayesian Decision Analysis☆73Updated 2 years ago
- GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business…☆25Updated 4 years ago
- Workshop material for the Vancouver DataJam☆21Updated 3 years ago
- Forecast the US demand for electricity☆100Updated 3 years ago
- ☆11Updated 2 years ago
- Version, share, deploy, and monitor models.☆68Updated 6 months ago
- 👩💻 Repository with Awesome PyLadies' content☆51Updated 3 months ago
- Example for ETL process with R, Docker, and Github Actions (WIP...).☆25Updated 3 years ago
- A web app showing how much electricity is made from renewable sources in different parts of UK☆24Updated this week
- Open Source Textbook for DSCI100: Introduction to Data Science in R☆56Updated 6 months ago
- Handbook of Graphs and Networks in People Analytics☆120Updated last year
- SciPy Conference Materials☆47Updated this week
- The material for my talks☆36Updated 3 months ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- The hourly demand and supply of electricity in the US☆25Updated 4 years ago
- PyData London 2022 Tutorial☆67Updated 3 years ago
- 🥄✨Time-series Benchmark methods that are Simple and Probabilistic☆41Updated last year
- The Data Science and AI Educators' Programme☆33Updated last year
- ☆21Updated 2 years ago
- Applied Time Series Analysis and Forecasting☆169Updated 2 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated last year
- "Intermediate Research Software Development Skills (Python)" Lesson Material☆58Updated this week
- How to run Python ML models in R☆17Updated 4 years ago
- A grammar of data manipulation for pandas inspired by tidyverse☆102Updated last year