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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

    • H

      HubSpot Academy

      Representante de Ventas de HubSpot

      Skills you'll gain: Sales Management, Sales Enablement, HubSpot CRM, Data Visualization, Prospecting and Qualification, Sales Presentations, Sales Development, Persona Development, Sales Process, Sales Strategy, Sales Training, Lead Generation, Employee Onboarding, Service Level Agreement, Sales Pipelines, Sales, Employee Coaching, Target Audience, Phone Sales, Customer Relationship Management (CRM) Software

      Beginner · Professional Certificate · 3 - 6 Months

    • F

      Fundação Instituto de Administração

      Fundamentos de Inteligência Artifical em Marketing

      Skills you'll gain: Marketing Strategies, Digital Transformation, Marketing Analytics, Marketing, MarTech, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Customer Engagement, Machine Learning, Innovation, Trend Analysis, Brand Management, Customer Insights, Deep Learning, Artificial Intelligence, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Scrimba

      React Interview Questions

      Skills you'll gain: React.js, UI Components, Web Development Tools, Front-End Web Development

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      برمجة Java: المصفوفات، والقوائم، والبيانات المصنفة

      Skills you'll gain: Object Oriented Programming (OOP), Encryption, Data Structures, Java, Algorithms, Programming Principles, Data Analysis, Data Processing, Web Analytics and SEO, File Management, Data Import/Export, Software Development

      Beginner · Course · 1 - 3 Months

    • S

      Simplilearn

      Digital Marketing Landscape

      Skills you'll gain: Marketing Planning, Marketing, Digital Marketing, Strategic Marketing, UI/UX Strategy, Digital Content, Marketing Strategies, E-Commerce, Marketing Communications, Social Media Marketing, Content Marketing, Search Engine Optimization, Content Creation, Advertising, Marketing Analytics, Brand Awareness, Web Analytics and SEO, Consumer Behaviour, Influencing, Customer Engagement

      Beginner · Course · 1 - 4 Weeks

    • U

      UBITS

      Administración efectiva del tiempo

      Skills you'll gain: Time Management, Prioritization, Organizational Skills, Planning, Personal Development, Goal Setting, Strategic Prioritization, Business Workflow Analysis, Process Analysis, Continuous Improvement Process

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      中國園林文學 (二) (Chinese Garden Literature (2))

      Skills you'll gain: Aesthetics, Liberal Arts, Creativity, Storytelling, Writing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Codio

      C++: Non-Linear Data Structures

      Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Bridging the Gap: EV Grid Integration & V2G Systems

      Skills you'll gain: Power Electronics, Systems Integration, Interoperability, Electrical Engineering, Network Protocols, Infrastructure Security, Internet Of Things, Emerging Technologies, Technology Solutions

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Analyze Data in Azure ML Studio

      Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Data Visualization, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Data Visualization Software, Correlation Analysis, Machine Learning

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Carbon Aware Computing for GenAI Developers

      Skills you'll gain: Google Cloud Platform, Cloud Computing, Generative AI, Applied Machine Learning, Cloud API, Geospatial Information and Technology, Real Time Data, Application Programming Interface (API)

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      HTML for Beginners: Classes and ID

      Skills you'll gain: Web Design and Development, Front-End Web Development, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Web Design, Scripting, Javascript

      Beginner · Guided Project · Less Than 2 Hours

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    1…831832833834

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

    • Representante de Ventas de HubSpot: HubSpot Academy
    • Fundamentos de Inteligência Artifical em Marketing: Fundação Instituto de Administração
    • React Interview Questions: Scrimba
    • برمجة Java: المصفوفات، والقوائم، والبيانات المصنفة: Duke University
    • Digital Marketing Landscape: Simplilearn
    • Administración efectiva del tiempo: UBITS
    • 中國園林文學 (二) (Chinese Garden Literature (2)): National Taiwan University
    • C++: Non-Linear Data Structures: Codio
    • Bridging the Gap: EV Grid Integration & V2G Systems: Coursera Instructor Network
    • Analyze Data in Azure ML Studio: Coursera Project Network

    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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