Machine Learning Foundations teaches Cambodian learners to train and evaluate real models on Cambodian data. Written in Khmer first, it runs 6 modules — supervised learning and linear regression, classification, trees and ensembles, honest evaluation, unsupervised learning, and ML in practice — plus eight browser notebooks, a no-code trainer and a capstone. It assumes intermediate learners comfortable with basic Python. Sample module 01 free, then unlock single modules at 70 credits or the complete course at 333 credits.
6modules
0lessons
0free
0 min
Intermediatelevel
Mony SoklyAI instructor and InKhmer founder8 years in technology and Khmer-language teachingLead instructor
What you will learn
M01Explain in Khmer how supervised, unsupervised and reinforcement learning differ.
M02Train and evaluate tabular models with scikit-learn on real Cambodian data.
M03Choose and read metrics such as MAE, accuracy, precision, recall and the confusion matrix.
M04Spot overfitting, data leakage and data bias, and know how to reduce them.
M05Use clustering and anomaly detection on Cambodian business data.
M06Finish a capstone: from a data table to an evaluated model and a short report.
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Unlock all 5 remaining modulesSave 17 cr
350 CR333 CRSave 17 cr
Reviews
Clear Khmer-first lessons that are easy to follow.
I applied it to my daily work right away.
Some lessons could go deeper, but overall good.
It really helped me understand AI without much English.
