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ep:labs:10 [2021/12/04 16:33] vlad.stefanescu [Resources] |
ep:labs:10 [2023/10/07 21:56] (current) emilian.radoi [Feedback] |
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| You will work in an environment that is easy to use, and provides a couple of tools like manipulating data and visualizing results. We will use a **Jupyer Notebook** hosted on **Google Colab**, which comes with a variety of useful tools already installed. | You will work in an environment that is easy to use, and provides a couple of tools like manipulating data and visualizing results. We will use a **Jupyer Notebook** hosted on **Google Colab**, which comes with a variety of useful tools already installed. | ||
| - | The exercises will be solved in Python, using various popular libraries that are usually integrated in machine learning projects: | + | The exercises will be solved in Python, using popular libraries that are usually integrated in machine learning projects: |
| * [[https://scikit-learn.org/stable/documentation.html|Scikit-Learn]]: fast model development, performance metrics, pipelines, dataset splitting | * [[https://scikit-learn.org/stable/documentation.html|Scikit-Learn]]: fast model development, performance metrics, pipelines, dataset splitting | ||
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| <solution -hidden> | <solution -hidden> | ||
| - | Solution: {{:ep:labs:lab_12_ml_revisited_solution.zip}} | + | [[https://colab.research.google.com/drive/1aeV9PGF_uxBA3FoKNMEzsiXMxjVSCcm4?usp=sharing|Solution]] |
| </solution> | </solution> | ||
| Line 49: | Line 49: | ||
| You can then export this python notebook as a PDF (**File -> Print**) and upload it to **Moodle**. | You can then export this python notebook as a PDF (**File -> Print**) and upload it to **Moodle**. | ||
| + | ===== Feedback ===== | ||
| + | Please take a minute to fill in the **[[https://forms.gle/NpSRnoEh9NLYowFr5 | feedback form]]** for this lab. | ||
