probabl

Exploring SQLite-vec - new features for a great tool

Improving models via subsets

CVXPY for scikit-learn estimators

How Narwhals has many end users ... that never use it directly. - Marco Gorelli

More Variance, PyTorch and Metadata

Decayed estimators for timeseries

More flexible models via sample weights

Exploring FastHTML

PyTorch and variance estimation

Why ridge regression typically beats linear regression

UMAP vs. PCA

Understanding how the KernelDensityEstimator works

Pragmatic data science checklists with Peter Bull

Use-cases for inverted PCA

Don't worry too much about missing data

Model safety, that's a pickle! with Adrin Jalali - scikit-learn maintainer

Boosting vs. semi-supervised learning

Sentence-Transformers v3

Benchmarking boosted trees against overfitting

Operators as Pipelines

Monotonic, and better, boosting

Moving towards KDearestNeighbors with Leland McInnes - creator of UMAP

Expanding on GMMs

Histograms for faster boosting

Rethinking the Pipelines API

Getting deeper into trees

Probabl Livestream: More DataFrames via Narwhals

Why tree gradients give you a boost

Probabl Livestream: Diving into Sparse Data Pipelines

Talk like a DataFrame, run like SQL with Phillip Cloud - core-committer on Ibis

Probabl Livestream: Dipping Toes into Timeseries

The StandardScaler is not Standard

Probabl Livestream: KNN on a LanceDB Vector DB

Scaling Datasets in Pipelines

Probabl Livestream: Exploring Ibis for DataFrames

Enhancing Jupyter with Widgets with Trevor Manz - creator of anywidget

Probabl Livestream: Live Coding Embetter Features

Introducing: Sample Space

Pipelines for convenience, *and* safety

Probabl Livestream: Embeddings in Pipelines

Building Elaborate Pipelines: Part 2

Probabl Livestream: Exploring TableVectorizer with Tabular Benchmarks

Building Elaborate Pipelines: Part 1

Probabl Livestream: Scikit-Churn and Temporal Data Leaks

Random Search is better, but there is one caveat

GridSearch made faster with a Cache

Drawing a Dataset from inside Jupyter

Generating Periodic Features for Seasonal Timeseries

The Quantile Trick

Image Classification with scikit-learn