What is scikit-learn?

Scikit-learn—or skilearn—is a very useful library of algorithms in Python for machine learning. It started out as a Google summer of code project in 2007 then was further developed by a group of data scientists from the French Institute for Research in Computer Science and Automation (FIRCA) and released to the public in 2010. The scikit-learn library lives at a github.com URL and is now a community effort that anyone with qualified skills can contribute to. While the library is primarily written in Python, it's also built on Python-based libraries that include NumPy, Matplotlib, pandas, and SciPy. It gives users tools for statistical modeling and machine learning, such as classification, clustering, regression, model selection, preprocessing, and dimensionality reduction.

What career opportunities can arise from learning scikit-learn?

When you learn scikit-learn, you put yourself in a position to be able to contribute to and help maintain the scikit-learn library. Top contributors include data scientists, software developers, machine learning researchers, research scientists, and open-source developers. Outside of contributing to the library, individuals in these career fields and others related to machine learning are better equipped to perform their job duties when they've learned how to utilize the algorithms in scikit-learn.

What skills or experience do I need to already have, before starting to learn scikit-learn?

Before starting to learn scikit-learn, you should have experience in and a sound understanding of Python. It is also often required to have experience in additional Python libraries, including NumPy, Scipy, Joblib, Matplotlib, and pandas.

How can taking online courses on Coursera help me learn scikit-learn?

Taking online courses on Coursera can help you learn about Python and machine learning as well as the specifics of using and creating algorithms for scikit-learn. You might learn how to build univariate and multivariate linear regression models using scikit-learn, use pandas to manage data, and perform exploratory data analysis and data visualization with seaborn, a Python library based on Matplotlib. With Coursera's online courses, you may also have the opportunity to make predictions in specific topics like electricity consumption, sentiment analysis, and career longevity for NBA rookies, for example.

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Coursera Project Network
Predict Employee Turnover with scikit-learn
Skills you'll gain: Python Programming, Statistical Programming, Data Management, Modeling, Evaluation, Statistical Classification, Employment, Predictive Modelling, Computer Programming, Machine Learning Algorithms, Interactivity, Theoretical Computer Science, Change Management, Machine Learning
4.4
(249 reviews)
Intermediate · Guided Project
Coursera Project Network
Predict Sales Revenue with scikit-learn
Skills you'll gain: Analysis, Regression, Mathematics, Data Management, General Statistics, Python Programming, Algebra, Data Analysis, Applied Machine Learning, Statistical Programming, Computer Programming, Exploratory Data Analysis, Machine Learning, Other Programming Languages, Probability & Statistics, Business Analysis, Big Data, Financial Analysis, Theoretical Computer Science, Machine Learning Algorithms
4.5
(224 reviews)
Beginner · Guided Project
Coursera Project Network
Evaluate Machine Learning Models with Yellowbrick
Skills you'll gain: Analysis, Modeling, Python Programming, Supply Chain, Regression, Logistic Regression, Statistical Programming, Supply Chain and Logistics, Evaluation, Strategy and Operations, Probability & Statistics, Computer Programming, Leadership and Management, Advertising, Marketing, Machine Learning, Supply Chain Systems, Change Management, Scikit-Learn, Communication
4.8
(49 reviews)
Intermediate · Guided Project

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multiple linear regression with scikit-learn

predict sales revenue with scikit-learn

perform sentiment analysis with scikit-learn

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predict employee turnover with scikit-learn

introduction to data science and scikit-learn in python

linear svm classification(soft margin) -using scikit learn

In summary, here are 10 of our most popular scikit learn courses

Predict Employee Turnover with scikit-learn: Coursera Project Network
Multiple Linear Regression with scikit-learn: Coursera Project Network
Predict Career Longevity for NBA Rookies using Scikit-learn: Coursera Project Network
Predict Sales Revenue with scikit-learn: Coursera Project Network
Introduction to Data Science and scikit-learn in Python: LearnQuest
Perform Sentiment Analysis with scikit-learn: Coursera Project Network
Scikit-learn Model Serving with Online Prediction Using AI Platform: Google Cloud
Support Vector Machines with scikit-learn: Coursera Project Network
Linear SVM Classification(Soft Margin) -using Scikit Learn: Coursera Project Network
Classification Trees in Python, From Start To Finish: Coursera Project Network

Frequently Asked Questions about Scikit Learn

Scikit-learn—or skilearn—is a very useful library of algorithms in Python for machine learning. It started out as a Google summer of code project in 2007 then was further developed by a group of data scientists from the French Institute for Research in Computer Science and Automation (FIRCA) and released to the public in 2010. The scikit-learn library lives at a github.com URL and is now a community effort that anyone with qualified skills can contribute to. While the library is primarily written in Python, it's also built on Python-based libraries that include NumPy, Matplotlib, pandas, and SciPy. It gives users tools for statistical modeling and machine learning, such as classification, clustering, regression, model selection, preprocessing, and dimensionality reduction.‎
When you learn scikit-learn, you put yourself in a position to be able to contribute to and help maintain the scikit-learn library. Top contributors include data scientists, software developers, machine learning researchers, research scientists, and open-source developers. Outside of contributing to the library, individuals in these career fields and others related to machine learning are better equipped to perform their job duties when they've learned how to utilize the algorithms in scikit-learn.‎
Taking online courses on Coursera can help you learn about Python and machine learning as well as the specifics of using and creating algorithms for scikit-learn. You might learn how to build univariate and multivariate linear regression models using scikit-learn, use pandas to manage data, and perform exploratory data analysis and data visualization with seaborn, a Python library based on Matplotlib. With Coursera's online courses, you may also have the opportunity to make predictions in specific topics like electricity consumption, sentiment analysis, and career longevity for NBA rookies, for example.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Filter by

78 results for "scikit learn"

Predict Employee Turnover with scikit-learn

Multiple Linear Regression with scikit-learn

Predict Career Longevity for NBA Rookies using Scikit-learn

Predict Sales Revenue with scikit-learn

Introduction to Data Science and scikit-learn in Python

Perform Sentiment Analysis with scikit-learn

Scikit-learn Model Serving with Online Prediction Using AI Platform

Support Vector Machines with scikit-learn

Linear SVM Classification(Soft Margin) -using Scikit Learn

Classification Trees in Python, From Start To Finish

Evaluate Machine Learning Models with Yellowbrick

Supervised Machine Learning: Regression and Classification

Searches related to scikit learn

In summary, here are 10 of our most popular scikit learn courses

Frequently Asked Questions about Scikit Learn

What is scikit-learn?‎

What career opportunities can arise from learning scikit-learn?‎

What skills or experience do I need to already have, before starting to learn scikit-learn?‎

How can taking online courses on Coursera help me learn scikit-learn?‎

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Filter by

78 results for "scikit learn"

Searches related to scikit learn

In summary, here are 10 of our most popular scikit learn courses

Frequently Asked Questions about Scikit Learn

What is scikit-learn?‎

What career opportunities can arise from learning scikit-learn?‎

What skills or experience do I need to already have, before starting to learn scikit-learn?‎

How can taking online courses on Coursera help me learn scikit-learn?‎

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Earn a degree or certificate online

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