4 مستودعات
Awesome GitHub RepositoriesData Science Toolkits
Collections of tools for data analysis and modeling.
Distinguishing note: Focuses on the toolset itself rather than general education.
Explore 4 awesome GitHub repositories matching data & databases · Data Science Toolkits. Refine with filters or upvote what's useful.
Awesome Data Science Toolkits GitHub Repositories
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- academic/awesome-datascience
academic/awesome-datascience
29,416عرض على GitHubThis project is a comprehensive, community-driven knowledge repository that serves as a centralized hub for data science resources. It provides a structured index of educational materials, software packages, and professional development tools designed to support both students and practitioners in navigating the data science landscape. The repository distinguishes itself through a hierarchical taxonomy that organizes a vast collection of external links into a human-readable, markdown-based document. By relying on distributed contributions, the project maintains an up-to-date snapshot of the fi
Aggregates essential tools for data science workflows.
analyticsawesome-listdata-mining - biolab/orange3
biolab/orange3
5,635عرض على GitHubOrange3 is a visual data mining platform that provides an interactive canvas for building data analysis workflows without writing code. At its core, it offers a widget-based visual programming environment where users connect configurable components to perform data preprocessing, machine learning model training, statistical evaluation, and interactive visualization. The platform is built on NumPy-backed data tables with domain descriptors that define variable names, types, and roles, and includes a lazy SQL query proxy for working with database tables without loading all data into memory. The
Provides a comprehensive collection of data preprocessing, modeling, and evaluation components for exploratory analysis.
Python - susanli2016/machine-learning-with-python
susanli2016/Machine-Learning-with-Python
4,583عرض على GitHubهذا المشروع عبارة عن مكتبة تعلم آلي بلغة Python ومجموعة أدوات علوم بيانات مصممة لبناء نماذج تنبؤية وتحليل مجموعات البيانات المعقدة. يوفر مجموعة من التنفيذات للخوارزميات الشائعة الخاضعة للإشراف وغير الخاضعة للإشراف باستخدام إطار عمل Scikit-Learn. تتضمن مجموعة الأدوات جناح نمذجة تنبؤية لتوليد تنبؤات من البيانات التاريخية وإطار عمل تحليل إحصائي لتطبيق النمذجة البايزية واختبارات السببية. كما يتميز بجناح تصور بيانات قائم على Matplotlib لعرض المخططات والرسوم البيانية الثابتة لتفسير حدود المصنف واتجاهات البيانات. يغطي المشروع سير عمل تجميع البيانات لتحديد الأنماط والقطاعات، وتحليل البيانات الاستكشافي، والمعالجة المسبقة للبيانات باستخدام Pandas و NumPy.
Provides a collection of scripts using Pandas and NumPy for cleaning, preprocessing, and analyzing complex datasets.
Jupyter Notebook - floydhub/dl-docker
floydhub/dl-docker
3,856عرض على GitHubThis project provides a standardized, portable containerized workspace designed to streamline deep learning development. By bundling essential machine learning frameworks and system dependencies into a single image, it eliminates manual configuration and ensures consistent execution across different host machines. The environment facilitates interactive data science workflows by enabling browser-based access to notebooks and monitoring tools through automated network port mapping. It also supports persistent data management by mounting local host directories directly into the container, ensur
Provides a portable software stack bundling deep learning frameworks, persistent storage, and interactive notebook access.
Python
