smasis001 / odsc-west-2022
Workshop for Open Data Science Conference East 2022
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for odsc-west-2022
- Slides for "Feature engineering for time series forecasting" talk☆57Updated 2 years ago
- Notes from our NLP reading club!☆16Updated 3 years ago
- Materials for conference talks and workshops☆29Updated 10 months ago
- This project introduces Causal AI and how it can drive business value.☆36Updated 2 months ago
- ☆13Updated 4 months ago
- ☆12Updated last month
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆14Updated last year
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆23Updated last week
- Repository for the explanation method Calibrated Explanations (CE)☆53Updated last week
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆33Updated 2 years ago
- Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily de…☆16Updated last year
- Causal Impact but with MFLES and conformal prediction intervals☆34Updated 9 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated 9 months ago
- Implementation of various Machine learning and MLOps applications/tutorials used within my Medium blog.☆9Updated last year
- ☆22Updated last year
- ☆14Updated last year
- Test LLMs automatically with Giskard and CI/CD☆28Updated 3 months ago
- sktime - python toolbox for time series: pipelines and transformers☆25Updated last year
- A pipeline to detect data drift and retrain the model when there is drift☆22Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆39Updated last year
- 📈🔍 Lets Python do AB testing analysis☆75Updated 6 months ago
- Code for the article Modeling Marketing Mix using PyMC3☆24Updated 2 years ago
- Pandas Training © MetaSnake 2022, CC BY-NC☆18Updated 2 years ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆26Updated last year
- Modern Time Series Forecasting with Python 2E, Published by Packt☆47Updated 2 weeks ago
- a small demo repo to show how I got neuralbeagle14-7b running locally on my 8GB GPU☆14Updated 9 months ago
- Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.☆20Updated 3 weeks ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- PyData London 2022 Tutorial☆66Updated 2 years ago
- Tutorial on time-series forcasting with scikit-learn☆36Updated last year