I’m building a free bilingual machine-learning notebook course — looking for feedback on structure and coverage [R](reddit.com)

Hi everyone, I’m building an open-source machine-learning tutorial repository in Jupyter Notebook format: https://github.com/mohammadijoo/Machine_Learning_Tutorials The course is bilingual: English and Persian/Farsi versions are organized in parallel. The goal is to make a practical, notebook-first ML curriculum that students can run locally and study step by step. Current focus areas include: ML foundations and workflow data cleaning, preprocessing, feature engineering regression and classification tree models and ensembles clustering and dimensionality reduction evaluation, cross-validation, calibration time series, anomaly detection, responsible ML, and MLOps concepts datasets and exercises for hands-on practice I would appreciate feedback on: whether the chapter order makes sense for beginners what important classical ML topics are missing whether bilingual notebooks are useful for non-native English learners how to make the notebooks more practical without turning them into only “copy/paste code” I’m sharing this as a free educational resource and would value constructive criticism. submitted by /u/abolfazl1363 [link] [Kommentare]