# weekly routine to learn Python and machine learning

By [shebin](https://paragraph.com/@znyder) · 2023-03-18

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**Monday:**

*   Spend some time reviewing basic Python syntax and data structures such as lists, tuples, and dictionaries.
    
*   Learn about control structures such as loops and conditional statements.
    

**Tuesday:**

*   Learn about functions and modules in Python.
    
*   Start working on a small Python project, such as a simple calculator or a program that generates random passwords.
    

**Wednesday:**

*   Learn about file I/O in Python and practice reading and writing to files.
    
*   Continue working on your Python project from the previous day.
    

**Thursday:**

*   Start learning about the basics of machine learning and its applications.
    
*   Get familiar with some popular machine learning libraries such as scikit-learn and TensorFlow.
    

**Friday:**

*   Continue learning about machine learning, specifically supervised and unsupervised learning.
    
*   Get hands-on experience with machine learning by working through some tutorials or examples.
    

**Saturday:**

*   Focus on practicing what you learned during the week by working on a larger machine learning project, such as building a recommendation system or a classification model.
    

**Sunday:**

*   Take a break and review any concepts or topics that you found particularly challenging during the week.
    
*   Look for resources, such as online courses or books, that can help you learn more about those topics.

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*Originally published on [shebin](https://paragraph.com/@znyder/weekly-routine-to-learn-python-and-machine-learning)*