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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

    • P

      Pontificia Universidad Católica de Chile

      Una Salud: la salud humana, animal y de los ecosistemas

      Skills you'll gain: Public Health, Public Health and Disease Prevention, Infectious Diseases, Health Policy, Nutrition and Diet, Environmental Science, Health Care, Epidemiology, Food Safety and Sanitation, Environment, Microbiology, Research

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Teoria dos Jogos: Da Teoria à Prática

      Skills you'll gain: Game Theory, Conflict Management, Bidding, Business Strategy, Negotiation, Strategic Thinking, Strategic Decision-Making, Market Dynamics, Market Analysis, Decision Making, Economics

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Optical Character Recognition (OCR) with Document AI (Python)

      Skills you'll gain: Authentications, Cloud API, Google Cloud Platform, Real Time Data, Application Programming Interface (API), Unstructured Data, Software Installation

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Key Industry 4.0 Technologies in Manufacturing - 1

      Skills you'll gain: Robotic Process Automation, Internet Of Things, Manufacturing Operations, Manufacturing Processes, Manufacturing and Production, Production Process, Automation, Innovation, 3D Modeling, Computer-Aided Design, Emerging Technologies, Digital Transformation, Simulation and Simulation Software, Real Time Data

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Investigating Epidemics like COVID-19: An Analyst's Guide

      Skills you'll gain: Epidemiology, Health Disparities, Data Visualization, Public Health, Spatial Analysis, Public Health and Disease Prevention, Geographic Information Systems, Data Analysis, Statistical Analysis, Infectious Diseases, Risk Analysis, Microsoft Excel

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      What Are Service-Level Agreements (SLAs)?

      Skills you'll gain: Service Level Agreement, Service Level, Service Management, Performance Measurement, Vendor Contracts, Customer Service, Cloud Services, Performance Metric, Expectation Management, Cloud Storage, Key Performance Indicators (KPIs), Negotiation, Communication

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de Palermo

      Historia de las Relaciones Internacionales

      Skills you'll gain: Diplomacy, International Relations, World History, European History, Political Sciences, Economics, Security Strategy

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Hands-on Data Centric Visual AI

      Skills you'll gain: Data Quality, Data Cleansing, Computer Vision, Data Validation, Deep Learning, Image Analysis, Data Manipulation, Test Tools, Data Transformation, Applied Machine Learning, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      CLCOR (350-801) v1.2 Video Training Series

      Skills you'll gain: Session Initiation Protocols, Collaborative Software, Network Planning And Design, Network Protocols, System Configuration, Network Infrastructure, Configuration Management, Network Performance Management, Telecommunications, User Provisioning, Software Installation

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Storage and Containers for Azure Professionals

      Skills you'll gain: Kubernetes, Google Cloud Platform, Microsoft Azure, Cloud Storage, Cloud Engineering, Data Lakes, Containerization, Hybrid Cloud Computing, Multi-Cloud, Cloud Computing Architecture, Network Architecture, Database Management

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Architecture and Virtualization

      Skills you'll gain: Network Architecture, Computer Networking, Network Infrastructure, Virtualization, Software-Defined Networking, Virtual Private Networks (VPN), Network Protocols, Cloud Infrastructure, Wireless Networks, Virtual Machines, Wide Area Networks, Cloud Computing, Network Routing, Network Performance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Peking University

      程序开发项目实践

      Skills you'll gain: Program Development, Computer Programming, Algorithms, Query Languages, Software Engineering, Object Oriented Programming (OOP), Development Testing, Data Structures

      2.9
      Rating, 2.9 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

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    1…831832833834

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

    • Una Salud: la salud humana, animal y de los ecosistemas: Pontificia Universidad Católica de Chile
    • Teoria dos Jogos: Da Teoria à Prática: Fundação Instituto de Administração
    • Optical Character Recognition (OCR) with Document AI (Python): Google Cloud
    • Key Industry 4.0 Technologies in Manufacturing - 1: Board Infinity
    • Investigating Epidemics like COVID-19: An Analyst's Guide: Johns Hopkins University
    • What Are Service-Level Agreements (SLAs)?: Coursera Instructor Network
    • Historia de las Relaciones Internacionales: Universidad de Palermo
    • Hands-on Data Centric Visual AI: University of California, Davis
    • CLCOR (350-801) v1.2 Video Training Series: Packt
    • Google Cloud Storage and Containers for Azure Professionals: Google Cloud

    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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