To use our favourite supervised learning models for time series forecasting we first have to convert time series data into a tabular dataset of features and a target variable. In this talk we’ll discuss all the tips, tricks, and pitfalls in transforming time series data into tabular data for forecasting. Slides: https://github.com/KishManani/PyDataLondon2022 PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. CREDITS:
PyData YouTube channel: https://www.youtube.com/c/PyDataTV https://www.youtube.com/watch?v=KrbV75Mby5E

PyScript leverages on the web browser to act as a ubiquitous virtual machine to deliver unprecedented Data Science use cases. Data Visualisation is the first and perhaps the most straightforward context in which PyScript can have its say. In this talk, we will present how PyScript can change the way data visualisation apps can be designed and delivered for complex data science use cases. PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. CREDIT:
PyData YouTube channel: https://www.youtube.com/c/PyDataTV https://www.youtube.com/watch?v=Xd-tmhdLJp0

Check out Ashley Davis's book 📖 Bootstrapping Microservices with Docker, Kubernetes, and Terraform | http://mng.bz/YGge 📖 To save 40% on Ashley's book use the DISCOUNT CODE ⭐ watchdavis40 ⭐ Explore how to build microservices with Node.js. Learn when and why to use them. Watch the full video at: http://mng.bz/2nqN 📚📚📚
Bootstrapping Microservices with Docker, Kubernetes, and Terraform | http://mng.bz/YGge
To save 40% off this book use discount code: watchdavis40 📚📚📚 About the book:
In Bootstrapping Microservices with Docker, Kubernetes, and Terraform, author Ashley Davis lays out a comprehensive approach to building microservices. You’ll start with a simple design and work layer-by-layer until you’ve created your own video streaming application. As you go, you’ll learn to configure cloud infrastructure with Terraform, package microservices using Docker, and deploy your finished project to a Kubernetes cluster. https://www.youtube.com/watch?v=t7T3zfWd5aI