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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
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      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
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      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
      C

      Coursera Instructor Network

      Master Compliance with MS 365 Copilot: EU Law

      Skills you'll gain: Compliance Management, Microsoft Copilot, Regulation and Legal Compliance, Legal Risk, Compliance Reporting, General Data Protection Regulation (GDPR), Microsoft 365, Audit Working Papers, Process Design, Workflow Management, Business Workflow Analysis, Automation, Prompt Engineering

      Advanced · Course · 1 - 4 Weeks

    • 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
      W

      Whizlabs

      Azure AI & ML: Optimize Language Models for AI Applications

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Applied Machine Learning, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      N

      National Academy of Sports Medicine

      Decoding Nutrition Labels

      Skills you'll gain: Nutrition and Diet, Nutrition Education, Food Quality Assurance And Control, Food and Beverage, Regulatory Compliance

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Simple to Stunning: The Fidelity Evolution in Figma Design

      Skills you'll gain: Figma (Design Software), Graphic and Visual Design, User Interface (UI) Design, Typography, Design Elements And Principles, User Experience Design, Usability, Style Guides, Wireframing, Mockups, UI Components

      Intermediate · 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

    • Status: New
      New
      C

      Coursera

      Interaction Intelligence: Advanced Prototyping with Figma

      Skills you'll gain: Responsive Web Design, Figma (Design Software), Prototyping, Mockups, User Interface (UI), Interaction Design, Usability, User Experience Design, User Flows, Animations

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Generative AI for Java and Spring Development

      Skills you'll gain: Restful API, Spring Framework, Natural Language Processing, Application Deployment, Generative AI, Artificial Intelligence, Application Programming Interface (API), Java, Spring Boot, Test Tools, Development Environment, Computer Vision, Deep Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      CyberPatriot

      Skills you'll gain: Cybersecurity, Microsoft Windows, Computer Security Awareness Training, Information Systems Security, Linux, Network Security, Linux Commands, Data Ethics, Data Security, Virtualization and Virtual Machines, Ethical Standards And Conduct, Hardening, Command-Line Interface, Virtual Machines, Operating Systems, Personally Identifiable Information, User Accounts, Computer Hardware, File Management

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NLP – Embeddings & Text Preprocessing in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Data Processing, Applied Machine Learning, Data Transformation, Unstructured Data, Feature Engineering, Machine Learning Algorithms, Computer Programming

      Intermediate · Course · 1 - 3 Months

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

    • Facebook Analytics: Optimize Performance: Coursera
    • Facebook Watch: Create Engaging Videos: Coursera
    • Master Compliance with MS 365 Copilot: EU Law: Coursera Instructor Network
    • ChatGPT Mastery – Craft Prompts for Optimal Results: Packt
    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
    • Decoding Nutrition Labels: National Academy of Sports Medicine
    • Simple to Stunning: The Fidelity Evolution in Figma Design: Coursera
    • Facebook Insights: Crack the Algorithm: Coursera
    • Interaction Intelligence: Advanced Prototyping with Figma: Coursera
    • Generative AI for Java and Spring Development: SkillUp EdTech

    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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