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Supervised Learning with scikit-learn

Intermediate
4.8+
1,639 reviews
Updated 04/2025
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
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PythonMachine Learning4 hours15 videos49 Exercises4,050 XP187,275Statement of Accomplishment

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Course Description

Grow your machine learning skills with scikit-learn and discover how to use this popular Python library to train models using labeled data. In this course, you'll learn how to make powerful predictions, such as whether a customer is will churn from your business, whether an individual has diabetes, and even how to tell classify the genre of a song. Using real-world datasets, you'll find out how to build predictive models, tune their parameters, and determine how well they will perform with unseen data.

Prerequisites

Introduction to Statistics in Python
1

Classification

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2

Regression

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3

Fine-Tuning Your Model

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4

Preprocessing and Pipelines

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Supervised Learning with scikit-learn
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*4.8
from 1,639 reviews
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  • Jose
    17 minutes

    Luv it!!!

  • YOGA
    about 5 hours

  • Andrea
    about 7 hours

  • Elaine
    about 11 hours

  • Mashooque
    about 7 hours

    Have a great learning experience ever!

  • Chien
    about 9 hours

"Luv it!!!"

Jose

YOGA

Andrea

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