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    Scikit-learn Courses Online

    Study Scikit-learn for machine learning in Python. Learn to build and evaluate models using this popular library.

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    Explore the Scikit-learn Course Catalog

    • Status: New
      New
      P

      Packt

      Continuous Integration Mastery with Jenkins

      Skills you'll gain: Jenkins, CI/CD, Continuous Integration, Docker (Software), GitLab, Continuous Delivery, DevOps, Containerization, Git (Version Control System), Continuous Deployment, GitHub, Code Review

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Stay Ahead of the AI Curve

      Skills you'll gain: Artificial Intelligence, Workforce Development, Strategic Thinking, Digital Transformation, Innovation, Generative AI, Emerging Technologies, Business Solutions, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Introduction to Object-Oriented Programming with Arduino

      Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Computer Programming, Embedded Software, Integrated Development Environments, Embedded Systems, Game Design, Web Development

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Mastering DeepSeek: From Architecture to Application

      Skills you'll gain: Deep Learning, Generative AI Agents, Generative AI, Business Process Automation, Large Language Modeling, Application Deployment, Prompt Engineering, Software Development Tools, Software Architecture, Automation, Development Environment, Application Programming Interface (API), Artificial Intelligence, Integration Testing, Systems Architecture, Applied Machine Learning, Unstructured Data, Open Source Technology, Reinforcement Learning, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Machine Controls, Embedded Systems, Electronic Systems, Engineering, Scientific, and Technical Instruments, Embedded Software, Electronics, Automation Engineering, Hardware Design, Laboratory Experience, Statistical Process Controls, Electronics Engineering, Electrical Engineering, Three-Phase, Manufacturing Processes, Power Electronics, Electrical Equipment, Electronic Components, Electrical Systems

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Flutter & Dart - Complete App Development Course

      Skills you'll gain: Flutter (Software), Mobile Development, User Interface (UI), JSON, User Interface and User Experience (UI/UX) Design, UI Components, Cross Platform Development, iOS Development, Maintainability, Object Oriented Programming (OOP), Database Development, Microsoft Visual Studio, Development Environment, Databases, Application Development, Interactive Data Visualization, Debugging, Data Storage Technologies, Programming Principles, Computer Programming

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      Facebook Analytics: Optimize Performance

      Skills you'll gain: Facebook, Content Performance Analysis, Social Media Content, Marketing Analytics, Data-Driven Decision-Making, Social Media, Digital Media Strategy, Social Media Management, Social Media Strategy, Trend Analysis, Performance Analysis, Performance Metric, Key Performance Indicators (KPIs)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Facebook Watch: Create Engaging Videos

      Skills you'll gain: Video Production, Storyboarding, Videography, Storytelling, Video Editing, Media Production, Facebook, Content Creation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Product Strategy and Roadmapping

      Skills you'll gain: Product Roadmaps, Product Strategy, User Story, Agile Product Development, Product Management, Stakeholder Management, Product Requirements, New Product Development, Product Lifecycle Management, Product Development, User Requirements Documents, Project Management, Innovation, Technology Strategies, Change Management, Cloud Platforms, Market Research, Prioritization

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      ChatGPT Mastery – Craft Prompts for Optimal Results

      Skills you'll gain: Prompt Engineering, ChatGPT, Quick Learning, Overcoming Obstacles, Generative AI, Storytelling, Writing, Ideation, Artificial Intelligence, Javascript

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      MedCerts

      Nursing Assistant Essentials

      Skills you'll gain: Patient Assistance, Nursing and Patient Care, Healthcare Ethics, Direct Patient Care, Caregiving, Toileting, Patient Education and Support, Medical Privacy, Oral Hygiene, Home Health Care, Patient Safety, Nursing Homes, Personal Care, Care Coordination, Activities of Daily Living (ADLs), Health Care Procedure and Regulation, Geriatrics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Facebook Insights: Crack the Algorithm

      Skills you'll gain: Content Performance Analysis, Facebook, Social Media Content, Analysis, Social Media, Drive Engagement, Social Media Strategy, Content Creation

      Beginner · Course · 1 - 4 Weeks

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    1…464748…834

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

    • Continuous Integration Mastery with Jenkins: Packt
    • Stay Ahead of the AI Curve: Google
    • Introduction to Object-Oriented Programming with Arduino : Packt
    • Mastering DeepSeek: From Architecture to Application: Board Infinity
    • Embedding Sensors and Motors: University of Colorado Boulder
    • Flutter & Dart - Complete App Development Course: Packt
    • Facebook Analytics: Optimize Performance: Coursera
    • Facebook Watch: Create Engaging Videos: Coursera
    • Product Strategy and Roadmapping: Microsoft
    • ChatGPT Mastery – Craft Prompts for Optimal Results: Packt

    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.‎

    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.‎

    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.‎

    Online Scikit Learn courses offer a convenient and flexible way to enhance your knowledge or learn new Scikit Learn skills. Choose from a wide range of Scikit Learn courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Scikit Learn, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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.

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