Building Machine Learning Pipelines in Python with Scikit-learn

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Online Courses to Learn scikit-learn

Explore 67 data science courses and free resources covering everything you need to know about scikit-learn.

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Overview

Easy-to-use and general-purpose machine learning in Python

Related Training

67 learning opportunities
YouTube
DataKwery
Free
Building Your First Regression Model in Python with Scikit-learn
Alex Chisholm and David Svancer

1 hours

Beginner
Matplotlib Python Seaborn scikit-learn Correlation Data Modeling Data Visualization Machine Learning Regression
YouTube
DataKwery
Free
Feature Engineering Foundations in Python with Scikit-learn
Alex Chisholm and David Svancer

1 hours

Intermediate
Python scikit-learn Feature Engineering Machine Learning
Coursera
LearnQuest
Free
Introduction to Data Science and scikit-learn in Python
Sabrina Moore

14 hours

Beginner
Jupyter NumPy Pandas Python scikit-learn
DataCamp
Machine Learning with scikit-learn
Hugo Bowne-Anderson

4 hours

$300
Python scikit-learn Classification Customer Analytics Data Analysis Data Modeling Data Sets
LinkedIn
Machine Learning with Scikit-Learn

$30
Python scikit-learn Machine Learning
Free Data Science Cheat Sheets
DataCamp
Free
Scikit-Learn Cheat Sheet: Python Machine Learning
Python scikit-learn Algorithms Data Modeling Machine Learning
DataCamp
Supervised Learning with scikit-learn
George Boorman

4 hours

$300

218,385
scikit-learn Classification Data Modeling Data Sets Image Analysis Optimization
edX
IBM
Free
Analyzing Data with Python

5 weeks, 3 hours/week

Beginner
NumPy Pandas Python Scipy scikit-learn Algorithms Arrays Data Analysis Data Pipelines Data Sets
DataCamp
Introduction to NumPy
Izzy Weber

4 hours

Beginner

$300
Matplotlib NumPy Pandas Python Tensorflow Applied Mathematics Arrays Data Types Decision Trees Functions
Coursera
IBM
Free
Machine Learning Capstone

19 hours

Intermediate
Pandas Watson scikit-learn Algorithms Classification Cloud Computing Cluster Analysis Data Analysis
Coursera
University of Chicago
Free
Machine Learning: Concepts and Applications
Nick Feamster

38 hours

Intermediate
Keras Pandas Python Tensorflow scikit-learn Classification Cluster Analysis Data Analysis Data Modeling Data Science
Online Learning
Microsoft
Free
Machine Learning for Beginners

12 weeks

Beginner
Microsoft Azure Python scikit-learn Classification Cloud Computing Cluster Analysis Data Analysis Data Cleaning
DataCamp
Machine Learning with Tree-Based Models in Python
Elie Kawerk

5 hours

$300

38,365
Python scikit-learn Algorithms Classification Data Modeling Decision Trees Machine Learning
Coursera
Korea Advanced Institute of Science and Technology (KAIST)
Free
Practical Python for AI Coding 2
Youngho Park

9 hours

Beginner
Keras Matplotlib NumPy Pandas Python Arrays Artificial Intelligence Data Modeling Data Types Data Visualization
Free Online Data Science Textbooks
Free
Scikit, No Tears
Jee Vang

Intermediate
Docker Natural Language Toolkit Pandas scikit-learn APIs Classification Cluster Analysis Data Sets Data Visualization
Online Learning
Microsoft
Free
Train and evaluate classification models

1 hours

Intermediate
Visual Studio Code scikit-learn Classification Data Modeling Machine Learning
Online Learning
Microsoft
Free
Train and evaluate clustering models

1 hours

Intermediate
Visual Studio Code scikit-learn Cluster Analysis Data Modeling Machine Learning
Online Learning
Microsoft
Free
Train and evaluate regression models

1 hours

Intermediate
Visual Studio Code scikit-learn Data Modeling Machine Learning Optimization Regression
DataCamp
Unsupervised Learning in Python
Benjamin Wilson

4 hours

$300

74,152
Python Scipy scikit-learn Cluster Analysis Data Analysis Data Modeling Data Sets Data Visualization
Coursera
Free
AI Workflow: Business Priorities and Data Ingestion

8 hours

Intermediate

4,415
Jupyter Matplotlib NumPy Pandas Python Artificial Intelligence Automation Data Cleaning Data Science Distributions
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Career Relevance

scikit-learn is most likely to appear on Data Scientist job descriptions where we found it mentioned 11.1 percent of the time.

1. Data Scientist
11.1%
2. Data Engineer
4.9%
3. Data Analyst
0.7%
4. Data Architect
0.6%
5. Business Analyst
0.0%

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