PinnedPublished inTDS ArchiveTransformers for Tabular Data: TabTransformer Deep DiveMaking sense out of TabTransformer and learning to apply it in TensorFlowSep 13, 2022A response icon6Sep 13, 2022A response icon6
PinnedPublished inTDS ArchiveData Pipelines with Polars: Step-by-Step GuideBuild scalable and fast data pipelines with PolarsJul 24, 2023Jul 24, 2023
Published inTDS ArchiveEDA with Polars: Step-by-Step Guide to Aggregate and Analytic Functions (Part 2)Advanced aggregates and rolling averages at lightning speed with PolarsJul 10, 2023Jul 10, 2023
Published inTDS ArchiveEDA with Polars: Step-by-Step Guide for Pandas Users (Part 1)Level up your data analysis with PolarsJul 6, 2023A response icon1Jul 6, 2023A response icon1
Published inTDS ArchiveFast String Processing with Polars — Scam Emails DatasetClean, process and tokenise texts in milliseconds using in-built Polars string expressionsMay 28, 2023May 28, 2023
Published inTDS ArchiveTensorFlow Decision Forests: A Comprehensive IntroductionTrain, tune, evaluate, interpret and serve the tree-based models using TensorFlowApr 14, 2023A response icon1Apr 14, 2023A response icon1
Published inTDS ArchiveHow To Deploy and Test Your Models Using FastAPI and Google Cloud RunLearn how to turn your model into a service that runs in the cloud in this end-to-end tutorialMar 8, 2023A response icon4Mar 8, 2023A response icon4
Published inTDS ArchiveIntroduction to ML Deployment: Flask, Docker & LocustLearn how to deploy your models in Python and measure the performance using LocustFeb 27, 2023Feb 27, 2023
Published inTDS ArchiveEnd-to-End ML Pipelines with MLflow: Tracking, Projects & ServingA Definitive Guide to Advanced Use of MLflowFeb 16, 2023A response icon2Feb 16, 2023A response icon2
Published inTDS ArchiveTransformers for Tabular Data (Part 3) : Piecewise Linear & Periodic EncodingsLearn how to apply advanced numerical embeddings to get better deep learning performance for tabular dataNov 22, 2022Nov 22, 2022
