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Linear Classifiers in Python

IntermediateSkill Level
4.8+
101 reviews
Updated 10/2023
In this course you will learn the details of linear classifiers like logistic regression and SVM.
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PythonMachine Learning4 hr13 videos44 Exercises3,200 XP60,356Statement of Accomplishment

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Course Description

In this course you'll learn all about using linear classifiers, specifically logistic regression and support vector machines, with scikit-learn. Once you've learned how to apply these methods, you'll dive into the ideas behind them and find out what really makes them tick. At the end of this course you'll know how to train, test, and tune these linear classifiers in Python. You'll also have a conceptual foundation for understanding many other machine learning algorithms.

Prerequisites

Supervised Learning with scikit-learn
1

Applying logistic regression and SVM

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2

Loss functions

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3

Logistic regression

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4

Support Vector Machines

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Linear Classifiers in Python
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*4.8
from 101 reviews
84%
16%
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  • besmala
    3 days

    Whilst this course doesn't dive deeper into each concept it gave me a solid idea of SVMs and Logistic Regression. I had to look up more questions on my own but I also learned a lot from the course! Thanks!

  • Sachini
    3 days

  • Antonios
    4 days

  • Jacob
    6 days

  • Rich
    9 days

    Great stuff! I feel like I learned a lot. Thanks for having me in the class.

  • Wai-sze
    16 days

Sachini

Antonios

Jacob

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