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Comprehensive Data Science learning and resource guide
Taipy is a Python library that helps developers turn data and AI algorithms into production-ready web apps quickly.
A comprehensive collection of data science cheatsheets for developers and data scientists.
A comprehensive learning resource for data science and machine learning, covering a wide range of topics and tools.
Modin: Scalable Pandas workflows with a single line of code change, enabling distributed data processing.
Build, manage and deploy AI/ML systems with Metaflow
A curated collection of practical machine learning and data science notebooks and libraries across different industries.
Open-source observability tool for GenAI and LLM applications, based on OpenTelemetry
A powerful data exploration and web app framework for Python, with rich visualization and interactive features.
A comprehensive collection of free resources for learning and practicing data science, including AI and ML tools.
Comprehensive machine learning repository with 30+ notebooks covering various ML concepts and techniques.
Mimesis is a fast Python library for generating fake data in multiple languages for testing and development purposes.
A Python package for accessing and analyzing Formula 1 racing data, including results, schedules, timing, and telemetry.
A TypeScript-based tool for converting natural language queries into SQL using AI.
Curated list of useful LLM, analytics, and data science resources for developers working with AI tools.
A Python library for creating data processing pipelines using functional programming principles.
This repository provides Python implementations of exercises from the book 'An Introduction to Statistical Learning'.
A repository for collecting study materials and resources related to data analysis and related fields.
ggstatsplot is an R library that enhances ggplot2 visualizations with statistical analysis and hypothesis testing.
A collection of Python code, notebooks, and examples for practical business data analysis and visualization.
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