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    • Scikit Learn

    Learn Essential Scikit-learn Skills

    Scikit-learn Courses: 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
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Python Programming, Computational Thinking, Biology, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

      4.3
      Rating, 4.3 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      109 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Build and Operate Machine Learning Solutions with Azure

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Data Pipelines, Responsible AI, Machine Learning, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning, Scalability

      3.8
      Rating, 3.8 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Limpieza de datos para el procesamiento de lenguaje natural

      Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Cleansing, Natural Language Processing, Jupyter, Pandas (Python Package), Scripting, Data Transformation, Data Capture, JSON, Text Mining, Hypertext Markup Language (HTML), Javascript

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Methods, Statistical Modeling, Regression Analysis, Probability & Statistics, Machine Learning, Bayesian Statistics, Statistical Inference, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Feature Engineering

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Active Learning in STEM with PhET Interactive Simulations

      Skills you'll gain: Instructional Strategies, Teaching, Education Software and Technology, Mathematics Education, Simulations, Simulation and Simulation Software, User Feedback, Experimentation, Peer Review, Scientific Methods, Design Strategies, Human Computer Interaction, Technical Documentation, Graphing, Physics, Biology, Chemistry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      143 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      U

      University of Colorado Boulder

      Introduction to Python for Scientific Computing

      Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Introducción al procesamiento de lenguaje natural

      Skills you'll gain: Natural Language Processing, Data Processing, Text Mining, Pandas (Python Package), Analysis, Big Data, Unstructured Data, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

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

    • Foundations of Data Science and Machine Learning with Python: Packt
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Machine Learning with Apache Spark: IBM
    • Build and Operate Machine Learning Solutions with Azure: Microsoft
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Limpieza de datos para el procesamiento de lenguaje natural: Universidad Austral
    • Statistical Learning: Illinois Tech
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • Active Learning in STEM with PhET Interactive Simulations: University of Colorado Boulder

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