Popular GitHub Repositories for Derive

This project shows how to derive the total number of training tokens from a large text dataset from ? datasets with Apache Beam and Dataflow.

SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud top temperature, (4) a multilayer flag and (5) a cloud base height from SEVIRI measurements using its full spectral capabilities. Also to be used as external module with ORAC (https://github.com/ORAC-CC/orac).

This repo shows how to review and derive information from datasets using Python. First, get an overview of data science and how it open source libraries like Python can be used for your data analysis need. Then, discover how to set up labs and data interpreters. Next, learn about how you can use pandas, NumPy, and SciPy for numerical processing, scientific programming, and extensive data exploration. With these options at your disposal, you'll be ready for the following code which focuses on making predictions using machine learning tools, data classifiers, and clusters. The repo concludes with a look at big data and how PySpark can be used for computing.

kenzu is a procedural macro crate for generating builder patterns in Rust — both immutable and mutable, with optional compile-time validation using field-level attributes. Whether you're building configuration structs, domain models, or input data, kenzu eliminates boilerplate while increasing safety and clarity.

This project encompasses end-to-end ETL and ML pipeline development. Data ingestion from TMDB API covered top-rated, current, upcoming, and popular movies with genres. Performed EDA to derive several valuable insights and observations. Developed a regression model with 97% r2 score to predict average movie ratings accurately.

You will evaluate latent Dirichlet allocation models and execute non-negative matrix factorization models. Finally, you will interpret the results of topic models and identify the best topic model for the given scenario. You will see how topic modelling provides insights into the underlying structure of documents. By the end of this course, you will be able to build fully functioning topic models to derive value and insights for your business