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  2. Google Colab

    colab.research.google.com/notebooks/intro.ipynb

    With Colab you can harness the full power of popular Python libraries to analyze and visualize data. The code cell below uses numpy to generate some random data, and uses matplotlib to visualize it.

  3. Google Colab

    colab.research.google.com/notebooks/basic_features_overview.ipynb

    Colab provides automatic completions to explore attributes of Python objects, as well as to quickly view documentation strings. As an example, first run the following cell to import the numpy module.

  4. Using Jupyter Notebooks - Google Colab

    colab.research.google.com/github/coolernato/Introduction-to-Python/blob/master...

    Jupyter notebooks is an open-source web-based Python editor which runs in your browser. It allows a combination of text written in a html-like format known as "markdown", such as the block of text you're reading right now, and inline code, tools and outputs such as this one:

  5. Open notebook - Google Colab

    colab.research.google.com/notebooks

    Open notebook. arrow_back Back . Examples

  6. Python basics - Colab - Google Colab

    colab.research.google.com/.../blob/master/notebooks/01_python_basics.ipynb

    Python. Python is one of the most popular programming languages for machine learning, both in academia and in industry. As such, it is essential to learn this language for anyone interested in machine learning. In this section, we will review Python basics.

  7. Google Colab

    colab.research.google.com/?hl=ja

    Colab(正式名称「Colaboratory」)では、ブラウザ上で Python を記述、実行できます。. 以下の機能を使用できます。. 環境構築が不要. GPU に料金なしでアクセス. 簡単に共有.

  8. Google Colab

    colab.research.google.com/notebooks/io.ipynb

    You can now embed live Google Sheets in Colab with the InteractiveSheet library. This means you can create and edit data in Google Sheets and seamlessly incorporate it into your notebook with Pandas DataFrames all from Colab.

  9. Google Colab

    colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/...

    Roboflow Notebooks: A repository of over 20 notebooks that walk through how to train custom models with a range of model types, from YOLOv7 to SegFormer. Roboflow YouTube : Our library of videos featuring deep dives into the latest in computer vision, detailed tutorials that accompany our notebooks, and more.

  10. Google Colab

    colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/...

    These Gaussian basis functions are not built into Scikit-Learn, but we can write a custom transformer that will create them, as shown here and illustrated in the following figure (Scikit-Learn transformers are implemented as Python classes; reading Scikit-Learn's source is a good way to see how they can be created):

  11. Google Colab

    colab.research.google.com/?hl=fr

    Colab (ou "Colaboratory") vous permet d'écrire et d'exécuter du code Python dans votre navigateur avec. Que vous soyez étudiant, data scientist ou chercheur en IA, Colab peut vous simplifier la tâche. Regardez la présentation de Colab pour en savoir plus ou commencez tout de suite.