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AdvancedData Science
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Intro to ML with scikit-learn

Train models: house prices, spam, customer clustering.

5.0(2 reviews) 20h 0 lessons 0 XP
T
C
A
Taught by Thầy Nam (Instructor) and 2 more
$49.00
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Tour of 3 ML model families: regression, classification, clustering. Each lesson = 1 dataset + 1 model + 1 insight.
Course objectives
  • Understand the ML pipeline: split, train, evaluate
  • Pick the right model for the problem type
  • Basic feature engineering with pandas + sklearn
What you'll achieve
  • Build a prediction model from your own dataset
  • Read basic ML papers
Skills you'll gain
ML with scikit-learn
Knowledge you'll get
Feature engineeringDescriptive & inferential statistics

Curriculum

0 chapters · 0 lessons

Instructors

Your instructors & mentors

T
Thầy Nam (Instructor)
Instructor

HUST graduate, ex-data lead at Grab Vietnam.

pythonpandasml
C
Cô Lan (Mentor)
Mentor
sqlcareerinterview
A
Anh Bảo (TA)
Teaching Assistant
pythondebugging

Reviews

2 reviews · average 5.0/5

5/23/2026

Mô hình hoạt động trên dataset của em luôn — siêu!

K
Khôi Lê
5/23/2026

Cuối cùng cũng hiểu cross-validation là gì.

H
Hương Nguyễn

FAQ

Frequently asked questions

Need math?
Basic linear algebra + probability. Course has quick refresher lessons.
Will I be a ML engineer after?
This is the foundation. For pro level, take Deep Learning + MLOps next.

Ready to start your journey?

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