tspreprocess - Time series preprocessing: Denoising, Compression, Resampling. Kaggler - Utility functions (OneHotEncoder(min_obs=100)) skrub - Bridge the gap between tabular data sources and machine-learning models. Noisy Labels cleanlab - Machine learning with noisy labels, finding mislabelled data...
Post-Processing: The recognized text is corrected for errors, often using language models or dictionaries. Common Applications: Digitizing Documents: Converting printed text into editable formats. Data Entry Automation: Reducing manual entry by extracting text from forms and invoices. Accessibility: Making...
dirty_cat- Machine learning on dirty tabular data (especially: string-based variables for classifcation and regression). NitroFE- Moving window features. sk-transformer- A collection of various pandas & scikit-learn compatible transformers for all kinds of preprocessing and feature engineering steps ...
Finally, we'll encounter the most important tools in our Pandas arsenal (Groupby-Apply-Transform) and explore its transformative functionality. WEEK 4 Course 1 Final Project In this final project, we'll take collection of various data sets involving warehouse capacities, product demand, and freight...
The "Clustering Analysis" course introduces students to the fundamental concepts of unsupervised learning, focusing on clustering and dimension reduction techniques. Participants will explore various clustering methods, including partitioning, hierarchical, density-based, and grid-based clustering. Additionally,...
ToPS - This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet. [Deprecated]Gesture Detectiongrt - The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-...
Ask.com is the #1 question answering service that delivers the best answers from the web and real people - all in one place. Frontleaf Customer Success. Done Right. Frontleaf generates real-time customer intelligence from product usage, CRM data, and other indicators, delivering insights that...
go-array - A Go package that read or set data from map, slice or json. go-aws-ssm - Go package that fetches parameters from AWS System Manager - Parameter Store. go-cfg - The library provides a unified way to read configuration data into a structure from various sources, such as env...
Xenium A C++17 library that provides various concurrent data structures and reclamation schemes. MIT header-only; cmake Configuration Library Description License Configuration Boost.Program_options The library allows to obtain program options, that is (name, value) pairs from the user, via convent...
It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage. shark - A fast, modular, feature-rich open-source C++ machine learning library. Shogun - The Shogun Machine Learning Toolbox. sofia-ml - Suite of fast incremental ...