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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
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning Software, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Finance

    4
    Rating, 4 out of 5 stars
    ·
    900 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Plot (Graphics), Seaborn, Matplotlib, Statistical Visualization, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Model Optimization, Markov Model, Securities Trading, Model Deployment, Risk Management

    3.4
    Rating, 3.4 out of 5 stars
    ·
    251 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    83 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Generative AI, Matplotlib, Data Visualization, Data Literacy, Plotly, Data Ethics, Plot (Graphics), Generative Model Architectures, Scientific Visualization, Data Cleansing, Data Presentation, Interactive Data Visualization, Pandas (Python Package), Data Quality, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Manipulation, Model Evaluation, Data Analysis, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    119 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    832 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Market Opportunities, Data Integration, Data Engineering, Data Science, Analytical Skills, Data Pipelines, Data Validation, Extract, Transform, Load, Data Processing, Workflow Management, Process Modeling, Data Cleansing, Data Quality, Data Collection, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Regression Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    AI-Powered Decision Intelligence

    Skills you'll gain: Decision Intelligence, Responsible AI, Generative AI Agents, Predictive Modeling, Agentic Workflows, Decision Support Systems, Business Intelligence, Data-Driven Decision-Making, Strategic Decision-Making, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Data Storytelling, Predictive Analytics, Machine Learning, Scikit Learn (Machine Learning Library), Data Security, Text Mining

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Forecasting, Data Processing, Anomaly Detection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Logistic Regression with NumPy and Python: Coursera
  • Principal Component Analysis with NumPy: Coursera
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Data Analysis and Visualization with Python: Microsoft
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University

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