Differences
This shows you the differences between two versions of the page.
|
ep:labs:09 [2025/02/11 22:57] cezar.craciunoiu |
ep:labs:09 [2026/03/03 10:56] (current) emilian.radoi [Feedback] |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | ====== Lab 9 - Machine Learning ====== | + | ====== Lab 09 - Machine Learning ====== |
| ===== Objectives ===== | ===== Objectives ===== | ||
| Line 13: | Line 13: | ||
| In this lab, we will study basic performance evaluation techniques used in machine learning, covering elementary concepts such as classification, regression, data fitting, clustering and much more. | In this lab, we will study basic performance evaluation techniques used in machine learning, covering elementary concepts such as classification, regression, data fitting, clustering and much more. | ||
| - | 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 **Jupyter Notebook** hosted on **Google Colab**, which comes with a variety of useful tools already installed. |
| The exercises will be solved in Python, using 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: | ||
| Line 51: | Line 51: | ||
| ===== Feedback ===== | ===== Feedback ===== | ||
| - | Please take a minute to fill in the **[[https://forms.gle/NpSRnoEh9NLYowFr5 | feedback form]]** for this lab. | + | Please take a minute to fill in the **[[https://forms.gle/moWQFAfMMmNmA2Q17 | feedback form]]** for this lab. |
