BytesAgainBytesAgain

Find the Right AI Skill for Any Job

Browse 13+ curated AI agent skills. Search by use case, filter by category, get the right tool instantly.

Browse by Use Case →Pick My Role

All Skills — coding

13 skills in "coding" matching "science"

🦀 ClawHub87 dl
ml roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.
GitHub
scipy
A Python-based ecosystem of open-source software for mathematics, science, and engineering.
GitHub
12 free Data Science projects to practice Python and Pandas
12 free Data Science projects to practice Python and Pandas - Tutorials
GitHub
Auto_ViML
> Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced "auto vimal", is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in <a href="https://towardsdatascience.com/why-automl-is-an-
GitHub
data-science-ipython-notebooks
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
🦀 ClawHub
Ml Roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.
GitHub
Rusty CS
A Computer Science Curriculum that helps practice the acquired academic knowledge in Rust
GitHub
1000 Data Science Projects
you can run on the browser with IPython.
GitHub
Python for Data Science: A Beginner’s Guide
Python for Data Science: A Beginner’s Guide - Tutorials
GitHub
Understand Data Science Course in Java
Understand Data Science Course in Java - Tutorials
GitHub
Kaggle
Learn about Data Science, Machine Learning, Python etc
GitHub
Machine Learning, Data Science and Deep Learning with Python
Machine Learning, Data Science and Deep Learning with Python - Tutorials
GitHub
Python for Data Science by Scaler
This course is designed to empower beginners with the essential skills to excel in today's data-driven world. The comprehensive curriculum will give you a solid foundation in statistics, programming, data visualization, and machine learning.