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Student Projects in Nuclear Physics (view source)
Revision as of 02:27, 7 March 2023
, 02:27, 7 March 2023→Machine Learning
=== Machine Learning ===
=== Machine Learning ===
* [[Pandas | Pandas: Data Handling in Python]] - [[User: mcintyre|James McIntyre]]
* [[Python | Python: Programming Language]] - [[User: mcintyre|James McIntyre]]
* [[SciPy | SciPy (Scientific Python): Open-source Library]] - [[User: mcintyre|James McIntyre]]
* [[SciPy | SciPy (Scientific Python): Open-source Library]] - [[User: mcintyre|James McIntyre]]
* [[NumPy | NumPy (Numerical Python): Open-source Library]] - [[User: mcintyre|James McIntyre]]
* [[NumPy | NumPy (Numerical Python): Open-source Library]] - [[User: mcintyre|James McIntyre]]
* [[Python | Python: Programming Language)]] - [[User: mcintyre|James McIntyre]]
* [[Pandas | Pandas: Data Handling in Python]] - [[User: mcintyre|James McIntyre]]
* [[Keras | Keras: Deep Learning Framework]] - [[User: mcintyre|James McIntyre]]
* [[TensorFlow | TensorFlow Decision Forests]] - [[User: mcintyre|James McIntyre]]
* [[Kaggle | Kaggle: No-setup, customizable, Jupyter Notebooks environment]] - [[User: mcintyre|James McIntyre]]
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https://www.tensorflow.org/decision_forests/tutorials
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== Python Programming Language ==
<font><i>NumPy is an open-source Python library created in 2005. It is used for working with arrays, but also has functions for working in the domain of linear algebra, fourier transform, and matrices.
<br>
<br>
<u><b>Below are some websites with more information and beginner tutorials</u>:</b></i></font>
* [https://www.python.org/ Python Programming Language <b>(python.org)</b>]
* [https://www.w3schools.com/python/default.asp Learn Python <b>(w3schools.com)</b>]
* [https://www.geeksforgeeks.org/python-programming-language/ Python Programming <b>(geeksforgeeks.org)</b>]
* [https://www.codecademy.com/catalog/language/python Python <b>(codecademy.com)</b>]
* [https://docs.python.org/3/tutorial/index.html Python Tutorial <b>(python.org)</b>]
* [https://learn.microsoft.com/en-us/windows/python/beginners Using Python on Windows <b>(learn.microsoft.com)</b>]
* [ <b>()</b>]
* [ <b>()</b>]