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ep:labs:09 [2025/02/11 22:57] cezar.craciunoiu |
ep:labs:09 [2025/05/15 21:17] (current) andrei.mirciu [Resources] |
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| - | ====== Lab 9 - Machine Learning ====== | + | ====== Lab 09 - Machine Learning ====== |
| ===== Objectives ===== | ===== Objectives ===== | ||
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| 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: | ||
