Nội dung khóa học

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    Khái quát về khóa học

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    Tuần 1: ML PipeLine & EDA

    • [Slide] Khai giảng lớp Foundation of Data Science.

    • [Record 1.1] Khai giảng + Introduction ML Pipeline & EDA

    • [Slide 1.1] Introduction ML Pipeline & EDA

    • [Slide 1.2] Introduction EDA Techniques

    • [Quiz 1.1] Introduction ML Pipeline & EDA Technique

    • [Record 1.2] Introduction EDA Techniques
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    Tuần 2: Feature Engineering & Feature Selection (Part 1)

    • [Slide 2.1] Introduction Feature Engineering & Feature Selection

    • [Quiz 2.1] Feature engineering + Selection

    • [Record 2.1] Introduction Feature Engineering & Feature Selection
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    Tuần 3: Feature Engineering & Feature Selection (Part 2)

    • [Slide 3.1] Feature Engineering & Feature Selection Part 2

    • [Quiz 3.1] Feature Engineering & Feature Selection Part 2

    • [Record 3.1] Feature Engineering & Feature Selection Part 2

    • [Slide 3.2] Avanced Feature Engineering

    • [Quiz 3.2] Advanced Feature Engineering

    • [Slide 3.3] Introduction Feature Selection

    • [Assignment 1] EDA & Feature engineering

    • [Record 3.3] Introduction Feature Selection

    • [Quiz 3.3] Introduction Feature Selection

    • [Solution Assignment 1] EDA & Feature engineering

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    Tuần 4: Machine Learning Models & Machine Learning Problems

    • [Slide 4.1 ] Introduction ML Models & ML Problem

    • [Record 4.1 ] Introduction ML Models & ML Problem

    • [Quiz 4.1 ] Introduction ML Models & ML Problem

    • [Slide 4.2] ML Models & ML Problem Advanced

    • [Record 4.2] ML Models & ML Problem Avanced

    • [Quiz 4.2] ML Models & ML Problems Advanced
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    Tuần 5: Build ML Models

    • [Slide 5.1] Build ML Models

    • [Quiz 5.1] Build ML Models

    • [Record 5.1] Build ML Models

    • [Slide 5.2] Build ML Models Part 2

    • [Quiz 5.2] Build ML Models Part 2

    • [Record 5.2] Build ML Models Part 2

    • [Guest Lecture] Data science for f̶u̶n̶ and profit

    • [Record 5.3] Tổng kết