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Supervised Learning with scikit-learn

IntermediateSkill Level
4.7+
1,911 reviews
Updated 05/2025
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 XP191,470Statement 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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*4.7
from 1,911 reviews
82%
16%
2%
0%
0%
  • Rishabh
    34 minutes

  • Aurelio
    about 2 hours

  • Samir
    about 8 hours

  • Satyajit
    about 9 hours

  • Aristotelis
    about 6 hours

  • MD. RAFIUR
    about 12 hours

    nice course. nicely organized and testing was also good

Rishabh

Aurelio

Samir

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