Search Results for "cleaning"

...What makes it particularly valuable is its holistic nature: rather than focusing only on modeling or theory, it also addresses the broader lifecycle of data-science work, data ingestion, cleaning, EDA, feature engineering, model building, validation, deployment, etc.

...Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. The repository is actively maintained and widely starred, reflecting its role as a go-to reference for newcomers and experienced practitioners alike.

...The repository contains the source files (Quarto / RMarkdown), example datasets, visualizations, exercises, and all content needed to build the book. Includes many example datasets, diagrams, code samples, and “hands-on” exercises. Comprehensive coverage of data-science workflow: data import, cleaning, transformation, exploration, modelling etc. Includes topics beyond basics: relational data (joins), date/time, strings, working with missing values, visualizing data, etc.

...The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow.

stocleka is a project divided into a UI and a library for cleaning user stories and converting them to arff files (used for Weka). it may be mainly used for research and scientific purposes.

Modernizing the sentential and predicate logic programs, Bertie and Twootie, by cleaning up the code, rewritting the code to conform to the standard Pascal defination, and developing a graphical user interface for both X and MS Windows.

...The third program generates practice tests which you can focus on particular areas of the exam or randomly select across the pool. The db file in the project is up to date as of February 3rd, 2020. When the FCC issues new/updated exam pools you can use the cleaning and parsing programs to update the database information. The project includes source code files. You may use them in your projects but you must give me attribution according to the GNU License Version 3.