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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


  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Predictive Analytics

    Skills you'll gain: Predictive Modeling, Analytics, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Business Analytics, Model Training, Ethical Standards And Conduct, Data Ethics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Statistical Modeling, Data Strategy, Regression Analysis, Supervised Learning, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
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    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    C

    Coursera

    GenAI for Fraud Analysts: Improving Detection Efficiency

    Skills you'll gain: Anomaly Detection, Fraud detection, Data Literacy, Data Visualization, Generative AI, Risk Management, Risk Mitigation, ChatGPT, Data Synthesis, Compliance Management, AI Integrations, AI Workflows, Data Pipelines, Automation, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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, Machine Learning Algorithms, Pandas (Python Package), Data Analysis, AI Personalization, 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, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
    C

    Coursera

    Gradient to Production: MLOps & Model Serving

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Decision Intelligence, Performance Metric, Python Programming, Version Control

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Preparation and Analysis

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Preprocessing, Data Processing, Model Training, Correlation Analysis, Decision Tree Learning, Logistic Regression

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Optimization, Model Deployment, AI Workflows, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Version Control

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning and Deep Learning for Software Engineers

    Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Applied Machine Learning, Software Development, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, Machine Learning Software, Model Training, Feature Engineering, Data Cleansing, Responsible AI, Machine Learning Methods, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Statistical Methods, Application Deployment, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

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

  • Predictive Analytics: Dartmouth College
  • AI Driven Machine Learning with Python: EDUCBA
  • GenAI for Fraud Analysts: Improving Detection Efficiency: Coursera
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Gradient to Production: MLOps & Model Serving: Coursera
  • Data Preparation and Analysis: Illinois Tech
  • Advanced Machine Learning Techniques: Coursera
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Production AI Model Development and Ethics: Coursera

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