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Chronos: Pretrained Models for Probabilistic Time Series Forecasting
A series of short examples using the OpenAI SDK
Exploratory repository to study predictive survival analysis models
Python for Algorithmic Trading Cookbook, published by Packt
Code and materials for the 2025 Census Data workshops given at the University of Michigan's SSDAN
Python Feature Engineering Cookbook, published by Packt
End to end examples of pharmaverse packages for common safety clinical reporting analyses
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face model…
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This is a workshop designed for Amazon Bedrock a foundational model service.
Bayesian Modeling and Probabilistic Programming in Python
A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs
A repo for the book 'Streamlit for Data Science' by Tyler Richards
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Scalable machine 🤖 learning for time series forecasting.
Extending Power BI with Python and R, 2nd edition, published by Packt
Extending Power BI with Python and R
Forecasting: principles and practice in python
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
Data Engineering - Metropolitan Transportation Authority (MTA) Subway Data Analysis
Knowledge Agents and Management in the Cloud
Survival analysis built on top of scikit-learn
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.