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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
      P

      Packt

      End User Security Awareness

      Skills you'll gain: Malware Protection, Computer Security Awareness Training, Cybersecurity, Security Awareness, Data Security, Network Security, Human Factors (Security), Personally Identifiable Information, Email Security, Wireless Networks

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Designing and Preparing Machine Learning Solutions

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Azure Synapse Analytics, Apache Spark, Applied Machine Learning, Data Science, Cloud Computing, Machine Learning, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Data Processing, Scalability, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      DevSecOps

      Skills you'll gain: DevSecOps, Application Security, Secure Coding, MLOps (Machine Learning Operations), Security Engineering, Threat Modeling, Security Testing, Software Architecture, Kubernetes, Cloud Security, CI/CD, Microsoft Azure, Web Applications, Docker (Software), Containerization, Infrastructure as Code (IaC), Machine Learning, Version Control, Dependency Analysis

      Beginner · Course · 1 - 3 Months

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

      Packt

      Advanced Data Management in Azure Databricks

      Skills you'll gain: Databricks, Real Time Data, Data Governance, Data Lakes, Microsoft Azure, Data Architecture, Data Management, Data Pipelines, Apache Spark, Data Quality, Data Integrity

      Advanced · Course · 1 - 4 Weeks

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

      SAP

      Requirements Gathering and Documentation

      Skills you'll gain: User Story, Requirements Elicitation, Requirements Management, Business Requirements, User Requirements Documents, Requirements Analysis, Verification And Validation, SAP Applications, Functional Specification, User Acceptance Testing (UAT), Stakeholder Engagement, Process Mapping

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Data Analytics Course with Generative AI

      Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Advanced Analytics, Business Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Prompt Engineering, Interactive Data Visualization, Data Visualization, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Storytelling, Predictive Modeling, ChatGPT, Forecasting, Data Transformation, Descriptive Analytics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Docker and Kubernetes for ASP.NET Development

      Skills you'll gain: Cloud-Native Computing, Containerization, Kubernetes, Docker (Software), ASP.NET, .NET Framework, Nginx, CI/CD, Cloud Applications, Development Environment, Application Deployment, YAML, Proxy Servers, Load Balancing, Scalability, Microsoft SQL Servers

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      Handshake Ready: Design Specs & Handoff in Figma

      Skills you'll gain: Figma (Design Software), Software Design Documents, Technical Documentation, User Interface and User Experience (UI/UX) Design, Software Design, Prototyping, Technical Communication, Style Guides, UI Components

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Generative AI and its Impact on Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Generative AI, Cyber Threat Intelligence, Cyber Security Strategy, Cybersecurity, Threat Modeling, Computer Security, Cyber Attacks, Threat Detection, Artificial Intelligence, Anomaly Detection, Data Ethics, Information Privacy, Innovation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      CompTIA A+ Core 2 (220-1102)

      Skills you'll gain: System Configuration, Security Awareness, Mobile Security, Software Installation, Cybersecurity, Microsoft Windows, Command-Line Interface, Operating Systems, Desktop Support, Application Security, Mac OS, Unix, Unix Commands, Malware Protection, Network Administration, Network Troubleshooting, Network Support, Linux Commands, Hardware Troubleshooting, Firewall

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      AWS Step Functions – Automate Complex Tasks with Workflows

      Skills you'll gain: Debugging, Amazon Web Services, AWS CloudFormation, Business Process Automation, Automation, Amazon S3, AWS Identity and Access Management (IAM), Amazon CloudWatch, Serverless Computing, API Gateway, Amazon DynamoDB, JSON, Data Validation

      Intermediate · Course · 1 - 3 Months

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

      Packt

      IP Addressing, Routing, and Network Management

      Skills you'll gain: Network Monitoring, Routing Protocols, Network Switches, TCP/IP, Disaster Recovery, Network Routing, Open Shortest Path First (OSPF), Dynamic Host Configuration Protocol (DHCP), Virtual Local Area Network (VLAN), System Monitoring, Network Planning And Design, Network Troubleshooting, Network Infrastructure, Network Administration, Network Architecture, Network Protocols, Border Gateway Protocol, Local Area Networks, Document Management, Software-Defined Networking

      Intermediate · Course · 1 - 3 Months

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

    • End User Security Awareness: Packt
    • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
    • DevSecOps: Macquarie University
    • Advanced Data Management in Azure Databricks: Packt
    • Requirements Gathering and Documentation: SAP
    • Data Analytics Course with Generative AI: Simplilearn
    • Docker and Kubernetes for ASP.NET Development: Packt
    • Handshake Ready: Design Specs & Handoff in Figma: Coursera
    • Generative AI and its Impact on Cybersecurity: Packt
    • CompTIA A+ Core 2 (220-1102): Packt

    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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