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    • Scikit Learn

    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

    • W

      Whizlabs

      Data Governance with Databricks

      Skills you'll gain: Data Governance, Extract, Transform, Load, Metadata Management, Role-Based Access Control (RBAC), Data Cleansing, Databricks, Data Management, Data Lakes, Data Pipelines, Amazon Web Services, Data Migration, Data Architecture, Data Security, Personally Identifiable Information, Data Warehousing, Data Quality, General Data Protection Regulation (GDPR), Data Capture

      3.5
      Rating, 3.5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time: Information Theory & Games

      Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Y

      Yunus Social Business Fund Bengaluru

      Value and Business Decision Making

      Skills you'll gain: Cash Flows, Financial Analysis, Decision Making, Risk Analysis, Business Valuation, Strategic Decision-Making, Environmental Social And Corporate Governance (ESG), Capital Budgeting, Stakeholder Management, Finance, Business Ethics, Return On Investment, Corporate Sustainability, Economics, Policy, and Social Studies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Digital Media and Strategic Planning in Technology Markets

      Skills you'll gain: Value Propositions, Social Media Marketing, Social Media Strategy, Search Engine Optimization, Competitive Analysis, Digital Media Strategy, Web Analytics and SEO, Business Modeling, Marketing Strategy and Techniques, Business Strategy, Content Marketing, Market Analysis, Paid media, Digital Marketing, Email Marketing, Video Production

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pittsburgh

      idea 2 IMPACT: An Introduction to Translating Assistive Health Technologies and Other Products

      Skills you'll gain: Competitive Analysis, Business Planning, Stakeholder Management, Planning, Market Analysis, New Product Development, Regulatory Affairs, Product Development, Commercialization, Problem Solving, Innovation, Entrepreneurship, Health Care Procedure and Regulation, Value Propositions, Health Technology, Presentations

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Institut Mines-Télécom

      Fabrication additive : l'impression 3D dans l'industrie

      Skills you'll gain: Manufacturing Processes, 3D Modeling, Manufacturing Operations, Computer-Aided Design, Mechanical Design, Industrial Engineering, Mechanical Engineering, Environmental Issue, Emerging Technologies, Prototyping, Safety and Security, Quality Assurance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced JavaScript Concepts

      Skills you'll gain: Software Design Patterns, Object Oriented Programming (OOP), Software Design, Javascript, Maintainability, Event-Driven Programming, Application Development, Debugging

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Large Language Models - Español

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Application Development, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Decentralized Application (DApp) Development

      Skills you'll gain: Blockchain, Front-End Web Development, Application Development, Web Development, JavaScript Frameworks, Transaction Processing, User Interface (UI), Development Testing, Cryptography, FinTech, Emerging Technologies, HTML and CSS, Software Architecture, Javascript, Application Deployment, Data Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      紅樓夢-母神崇拜 (The Red Chamber Dream (2))

      Skills you'll gain: Cultural Diversity, Aesthetics, Sociology, Anthropology, Storytelling, Psychology

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Essential Cloud Infrastructure: Foundation - Français

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Cloud Computing, Infrastructure Architecture, Virtual Machines, Network Architecture, General Networking, Virtual Private Networks (VPN), Firewall, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Infrastructure Security

      Skills you'll gain: Infrastructure Security, Vulnerability Scanning, Network Security, Amazon Web Services, Firewall, Vulnerability Assessments, Network Infrastructure, Virtual Private Networks (VPN), Security Controls, Cloud Security, Endpoint Security, Distributed Denial-Of-Service (DDoS) Attacks, Load Balancing

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Data Governance with Databricks: Whizlabs
    • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
    • Value and Business Decision Making: Yunus Social Business Fund Bengaluru
    • Digital Media and Strategic Planning in Technology Markets: University of Colorado Boulder
    • idea 2 IMPACT: An Introduction to Translating Assistive Health Technologies and Other Products: University of Pittsburgh
    • Fabrication additive : l'impression 3D dans l'industrie: Institut Mines-Télécom
    • Advanced JavaScript Concepts: Packt
    • Introduction to Large Language Models - Español: Google Cloud
    • Decentralized Application (DApp) Development: EDUCBA
    • 紅樓夢-母神崇拜 (The Red Chamber Dream (2)): National Taiwan University

    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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