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Supervised Learning with scikit-learn

Intermediate
4.8+
1,601 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 XP186,615Statement 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 1,601 reviews
82%
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  • Raghad
    about 3 hours

    It was full of knowledge and exciting, extremely beneficial.

  • Uduak
    about 4 hours

  • Daniel
    about 4 hours

  • Zaid
    about 6 hours

  • Ameneh
    about 6 hours

  • Alex
    about 6 hours

"It was full of knowledge and exciting, extremely beneficial."

Raghad

Uduak

Daniel

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