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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: Free Trial
      Free Trial
      E

      EDUCBA

      Advanced Topics in ASP.NET Core Development

      Skills you'll gain: ASP.NET, Web Applications, Web Development, Microservices, Secure Coding, Single Sign-On (SSO), Performance Tuning, Identity and Access Management, Full-Stack Web Development, C# (Programming Language), Application Development, Application Security, Multi-Factor Authentication, Authentications, Role-Based Access Control (RBAC), Scalability, Application Performance Management, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Intel

      Intel Telco Cloud Transformation

      Skills you'll gain: Digital Transformation, Network Infrastructure, Network Architecture, Cloud Infrastructure, Operational Efficiency, General Networking, Telecommunications, Cloud-Native Computing, Wireless Networks, Emerging Technologies, Network Security, Resource Utilization, Virtualization, Hardware Architecture, Scalability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Cutting-edge Technology in Air Conditioning System

      Skills you'll gain: HVAC, Building Codes, Thermal Management, Energy and Utilities, Control Systems, Equipment Design, Mechanical Engineering, Environmental Monitoring, Mechanical Design, Engineering Calculations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      GenAI Summarization with Langchain: Summarize Text Documents

      Skills you'll gain: Large Language Modeling, ChatGPT, Prompt Engineering, Generative AI, OpenAI, Web Applications, Python Programming, Natural Language Processing, User Interface (UI)

      3.2
      Rating, 3.2 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Plots Creation using Matplotlib Python

      Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Structures

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Data Cleaning in Snowflake: Techniques to Clean Messy Data

      Skills you'll gain: Data Cleansing, Snowflake Schema, Data Quality, Data Transformation, Data Validation, Data Manipulation, Data Analysis, Business Intelligence, SQL

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Git with GitLab and BitBucket

      Skills you'll gain: Bitbucket, GitLab, Git (Version Control System), Version Control, Collaborative Software, CI/CD, User Accounts, Code Review, Remote Access Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Networking

      Skills you'll gain: Amazon Web Services, Virtual Private Networks (VPN), Network Routing, Network Architecture, General Networking, Network Security, Network Monitoring

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Introduction to Open Source Operating Systems - Bachelor's

      Skills you'll gain: Open Source Technology, Package and Software Management, Linux, Linux Administration, Linux Commands, Operating Systems, Command-Line Interface, File Systems, Unix Commands, Red Hat Enterprise Linux, Systems Administration, Shell Script, IT Automation, Web Servers, System Configuration, General Networking, Firewall, Software Installation, Virtual Machines, Virtualization

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California San Diego

      A New Communication Framework for Healthcare

      Skills you'll gain: Compassion, Empathy, Patient Education And Counseling, Interpersonal Communications, Active Listening, Communication, Emotional Intelligence, Cultural Diversity, Self-Awareness

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Radio y Televisión Española

      Posicionamiento en redes: estrategias de contenido.

      Skills you'll gain: Social Media Content, Social Media Strategy, Social Media Management, Content Strategy, Media and Communications, Content Creation, Network Analysis, Digital Communications, Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…830831832…834

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

    • Advanced Topics in ASP.NET Core Development: EDUCBA
    • Data Analysis with Python Project : University of Colorado Boulder
    • Intel Telco Cloud Transformation: Intel
    • Cutting-edge Technology in Air Conditioning System: L&T EduTech
    • GenAI Summarization with Langchain: Summarize Text Documents: Coursera Project Network
    • Plots Creation using Matplotlib Python: Coursera Project Network
    • Data Cleaning in Snowflake: Techniques to Clean Messy Data: Coursera Project Network
    • Git with GitLab and BitBucket: LearnKartS
    • AWS: Networking: Whizlabs
    • Introduction to Open Source Operating Systems - Bachelor's: Illinois Tech

    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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