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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

    • Status: Free Trial
      Free Trial
      R

      Radio y Televisión Española

      Búsqueda avanzada y verificación de información

      Skills you'll gain: Image Analysis, Research, Information Architecture, Investigation, Trend Analysis, Verification And Validation, Facebook, Data Validation, Content Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Erasmus University Rotterdam

      L’engagement efficace de la société civile dans le développement

      Skills you'll gain: Community Development, Advocacy, Fundraising, Public Policies, Stakeholder Engagement, Governance, Policy Analysis, Strategic Partnership, Compliance Management, Accountability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Python Fundamentals and Data Science Essentials

      Skills you'll gain: Matplotlib, Data Visualization, Linear Algebra, NumPy, Seaborn, Pandas (Python Package), Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Data Analysis, Data Manipulation, Classification And Regression Tree (CART), Regression Analysis, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Project Network

      Financial Reporting with Tableau: Parameters & Filters

      Skills you'll gain: Dashboard, Tableau Software, Interactive Data Visualization, Financial Reporting, Financial Data, Business Reporting, Financial Statements, Data Analysis Expressions (DAX), Financial Statement Analysis, Financial Analysis, Data Visualization Software, Performance Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universitat Autònoma de Barcelona

      Competencias clave para profesionales de Recursos Humanos

      Skills you'll gain: Human Resources, Resilience, Negotiation, Organizational Change, Telecommuting, Culture Transformation, Human Resource Strategy, Organizational Leadership, Adaptability, Leadership, Virtual Teams, Workforce Management, Diversity and Inclusion, Digital Transformation

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Feedback Loops: Horizontal Feedback

      Skills you'll gain: Constructive Feedback, Cooperation, Peer Review, Independent Thinking, Empathy, Teamwork, Collaboration, Relationship Building, Cognitive flexibility, Diversity Awareness, Innovation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Algorithmic Trading

      Skills you'll gain: Generative AI, Financial Trading, Market Data, Portfolio Management, Technical Analysis, Financial Market, Market Trend, Real Time Data, Investment Management, Automation, Artificial Intelligence, Python Programming, Predictive Modeling, Time Series Analysis and Forecasting, Applied Machine Learning, Risk Management

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      اللغة والمفاهيم التنظيمية

      Skills you'll gain: Product Lifecycle Management, Data Storytelling, Performance Measurement, Product Management, Business Strategy, Business Analysis, Competitive Analysis, Organizational Strategy, Analytics, Accounting, Strategic Thinking, Business, Management Accounting, Corporate Strategy, Marketing, Strategic Marketing, Innovation, Consumer Behaviour, Value Propositions

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Security Assessment and Testing

      Skills you'll gain: Security Testing, Vulnerability Assessments, Cyber Security Assessment, Vulnerability Scanning, Penetration Testing, Threat Modeling, Security Requirements Analysis, Software Testing, Test Planning, Data Security, Cyber Threat Intelligence

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Design of CPS with ARM processor using Embedded C

      Skills you'll gain: Embedded Systems, Embedded Software, Computer Systems, Internet Of Things, System Programming, C (Programming Language), Hardware Architecture, Peripheral Devices, Wireless Networks, Computer Architecture, Cybersecurity, Cloud Computing, Development Environment, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Mercado e Títulos de Renda Fixa e de Renda Variável

      Skills you'll gain: Derivatives, Financial Market, Equities, Capital Markets, Financial Analysis, Securities Trading, Investments, Financial Management, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Identity and Access Management

      Skills you'll gain: AWS Identity and Access Management (IAM), Identity and Access Management, Amazon Web Services, Amazon S3, Authorization (Computing), Role-Based Access Control (RBAC), Authentications, Single Sign-On (SSO), User Accounts, Data Security, Multi-Factor Authentication, Encryption

      Intermediate · Course · 1 - 4 Weeks

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    1…828829830…834

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

    • Búsqueda avanzada y verificación de información: Radio y Televisión Española
    • L’engagement efficace de la société civile dans le développement: Erasmus University Rotterdam
    • Python Fundamentals and Data Science Essentials: Packt
    • Financial Reporting with Tableau: Parameters & Filters: Coursera Project Network
    • Competencias clave para profesionales de Recursos Humanos: Universitat Autònoma de Barcelona
    • Feedback Loops: Horizontal Feedback : University of Michigan
    • GenAI for Algorithmic Trading: Coursera Instructor Network
    • اللغة والمفاهيم التنظيمية: University of Illinois Urbana-Champaign
    • Security Assessment and Testing: Packt
    • Design of CPS with ARM processor using Embedded C: L&T EduTech

    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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