Introductory Python exercises focused on data analysis and basic machine learning using common scientific libraries. Includes data preprocessing, visualization, and classical ML models with scikit-learn. Original datasets used during the course are not included.
-
Notifications
You must be signed in to change notification settings - Fork 0
Introductory Python exercises focused on data analysis and basic machine learning using common scientific libraries. Includes data preprocessing, visualization, and classical ML models with scikit-learn. Original datasets used during the course are not included.
License
abrilbertran/Python-Introduction
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Introductory Python exercises focused on data analysis and basic machine learning using common scientific libraries. Includes data preprocessing, visualization, and classical ML models with scikit-learn. Original datasets used during the course are not included.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published