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Scikit-Learn Courses

Scikit-learn courses can help you learn data preprocessing, model selection, classification techniques, and regression analysis. You can build skills in evaluating model performance, feature engineering, and implementing machine learning pipelines. Many courses introduce tools like Jupyter Notebooks and Python libraries, that support applying these skills in practical projects.


Popular Scikit-Learn Courses and Certifications


  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Mastering Recommendation Systems with Python

    Skills you'll gain: Feature Engineering, AI Personalization, Data Processing, Applied Machine Learning, Data Manipulation, Data Science, Machine Learning, Data Cleansing, Scalability, Machine Learning Algorithms, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Predictive Modeling, Text Mining, Development Environment, Unstructured Data, Scikit Learn (Machine Learning Library), Data Integration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Supervised Learning, Image Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, Pandas (Python Package), NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    185 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Predictive Analytics

    Skills you'll gain: Business Ethics, Predictive Modeling, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Digital Transformation, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Supervised Learning, Python Programming, Data Quality, Cloud Platforms, Performance Metric, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Analyze Box Office Data with Seaborn and Python

    Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

Searches related to Scikit-learn

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1…111213…834

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

  • Logistic Regression with NumPy and Python: Coursera
  • Mastering Recommendation Systems with Python: EDUCBA
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Advanced Machine Learning Techniques: Coursera
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Predictive Analytics: Dartmouth College
  • Analyze Box Office Data with Seaborn and Python: Coursera

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