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    3. Programming Foundations of Classification and Regression LiveLessons (Part 1)

    Programming Foundations of Classification and Regression LiveLessons (Part 1)

    Posted By: lucky_aut
    Date: 22 Mar 2021 16:27:26
    Programming Foundations of Classification and Regression LiveLessons (Part 1)

    Programming Foundations of Classification and Regression LiveLessons (Part 1)
    Duration: 4h | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 7.35 GB
    Genre: eLearning | Language: English

    Code-along sessions move you from introductory machine learning concepts to concrete code.

    Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond nodding along in discussion to coding machine learning tasks. These videos show you how to turn introductory machine learning concepts into concrete code using Python, scikit-learn, and friends.

    You learn how to load and explore simple datasets; build, train, and perform basic learning evaluation for a few models; compare the resource usage of different models in code snippets and scripts; and briefly explore some of the software and mathematics behind these techniques.

    Skill Level

    Beginner
    Learn How To

    Build and apply simple classification and regression models
    Evaluate learning performance with train-test splits
    Evaluate learning performance with metrics tailored to classification and regression
    Evaluate the resource usage of your learning models
    Who Should Take This Course

    If you are becoming familiar with the basic concepts of machine learning and you want an experienced hand to help you turn those concepts into running code, this course is for you. If you have some coding knowledge but want to see how Python can drive basic machine learning models and practice, this course is for you.

    Course Requirements

    A basic understanding of programming in Python (variables, basic control flow, simple scripts)

    More Info
    UPWARDS