This repository contains the materials for the course “Python Provisioning: From API to Machine Learning”.
The course was designed to provide a practical introduction to Python workflows involving data acquisition, API consumption, preprocessing, and machine learning fundamentals.
This course connects different stages of a real-world Python pipeline, starting from data retrieval through APIs and moving toward analytical and machine learning applications.
It was created for students who want to understand how Python can be used not only for programming fundamentals, but also for building complete data-oriented workflows.
- Python fundamentals for data workflows
- working with APIs
- data collection and processing
- data cleaning and transformation
- exploratory analysis
- introduction to machine learning
- practical Python applications
The main goal of this course is to help learners understand how to move from raw data acquisition to initial machine learning experimentation using Python in a practical and accessible way.
This repository may include materials such as:
- notebooks
- code examples
- exercises
- supporting files
- course demonstrations
This course is intended for students and beginners interested in Python, data workflows, and introductory machine learning concepts.