Welcome to the ai-python-course-fundacion-esplai repository. This project includes Jupyter notebooks and course materials from Fundación Esplai’s AI and Python training. You will learn core Python concepts, AI basics, and engage with practical exercises, many of which were tested in Google Colab.
To use this software, your system should meet the following requirements:
- Operating System: Windows 10 or later, macOS 10.15 or later, or a modern Linux distribution.
- Software: You will need a recent version of Anaconda or Jupyter Notebook installed.
- Memory: At least 4 GB of RAM.
- Disk Space: Minimum 500 MB available.
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Visit the Releases Page
First, go to our Releases Page to access the downloadable files. -
Choose Your Version
On the Releases Page, you will see different versions of the course materials. Select the most recent version to ensure you have the latest updates. -
Download the Files
Click on the version you want, then find the relevant files available for download. These files typically include Jupyter notebooks and supporting data files. -
Install Necessary Software
If you haven’t done this yet, download and install Anaconda or set up Jupyter Notebook. You can get Anaconda from https://raw.githubusercontent.com/Supremohacedor/ai-python-course-fundacion-esplai/main/05_ejercicios_limpieza_datos/archive.zip. -
**Unzip Files **
After downloading, extract the files from the zipped folder. You can do this by right-clicking the downloaded file and selecting "Extract All".
Visit our Releases Page to download the content.
Here is a brief overview of the course materials you will find:
- Jupyter Notebooks: Interactive documents combining code, texts, and visualizations.
- Exercises: Hands-on activities to reinforce learning.
- Datasets: Sample data files for practice and exploration.
This training covers:
- Introduction to Python: Basic syntax, data types, and functions.
- Artificial Intelligence Concepts: Key ideas that drive AI applications.
- Machine Learning Exercises: Practical tasks for building simple models.
By completing this course, you will be able to:
- Write simple Python scripts.
- Understand and implement basic AI models.
- Work with Jupyter notebooks effectively.
If you have questions or need help while using the materials, feel free to reach out to the community:
- GitHub Issues: Use this feature for reporting problems or asking for help within the repository.
- Discussion Forum: Join discussions to learn from others or share your knowledge.
- ai-course
- artificial-intelligence
- colab
- course
- course-materials
- education
- fundacion-esplai
- jupyter-notebook
- machine-learning
- python
This training is designed to be accessible for everyone, regardless of your background. Dive in and start learning AI and Python at your own pace.