10 Weeks, 20 Lessons, Data Science for All!
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Roadmap to becoming an Artificial Intelligence Expert in 2022
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
- machine-learning
- deep-learning
- data-analysis
- data-mining
Open Machine Learning Course
A curated list of awesome R packages, frameworks and software.
This repository is a getting started guide to Singer.
- etl
- etl-framework
- python
- singer
Practical Data Science with Ruby based tools.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
- data-analytics
- data-cleaning
- data-cleansing
- data-engineering
A curated list of awesome Qlik extensions and resources for Qlik Sense and QlikView
- qlik
- qlik-sense
- qlik-extension
- qlik-sense-extension
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette