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Scikit Learn Courses

Scikit Learn courses can help you learn data preprocessing, model selection, and evaluation techniques, along with supervised and unsupervised learning methods. You can build skills in feature engineering, hyperparameter tuning, and implementing algorithms like decision trees and support vector machines. Many courses also introduce tools such as Jupyter Notebooks and Python libraries, that support applying machine learning concepts and visualizing data to derive actionable insights.


Popular Scikit Learn Courses and Certifications


  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    898 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    AI CERTs

    AI in Healthcare & Drug Discovery

    Skills you'll gain: Precision Medicine, Responsible AI, Drug Development, Data Ethics, Pharmaceuticals, Clinical Trials, Clinical Research, Bioinformatics, AI Product Strategy, AI Enablement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Generative AI, Regulatory Affairs, Healthcare Ethics, Generative AI Agents, Hospital Medicine, Drug Interaction, Agentic systems

    Beginner · Course · 1 - 3 Months

  • 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, Performance Metric, Python Programming, Version Control, Verification And Validation

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Data Analyst Capstone Project

    Skills you'll gain: Dashboard, Dashboard Creation, IBM Cognos Analytics, Data Visualization, Data Presentation, Presentations, Data Wrangling, Exploratory Data Analysis, Business Intelligence Software, Statistical Visualization, Data Analysis, Interactive Data Visualization, Microsoft PowerPoint, Data Visualization Software, Data Cleansing, Business Intelligence, Looker (Software), Data Manipulation, Web Scraping, Data Collection

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • G
    N
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Software, Time Series Analysis and Forecasting, Applied Machine Learning, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Data Manipulation, Decision Tree Learning, Statistical Machine Learning, Data Analysis, Statistical Methods, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Data Storytelling, Generative AI, Data Presentation, Data Ethics, Interactive Data Visualization, Data Visualization, Matplotlib, Exploratory Data Analysis, Pandas (Python Package), Plotly, Data Manipulation, Generative Model Architectures, Data Transformation, Data Visualization Software, Generative Adversarial Networks (GANs), Data Cleansing, Data Wrangling, Scikit Learn (Machine Learning Library), Data Analysis, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    112 reviews

    Beginner · Course · 1 - 3 Months

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Performance Metric

    3.9
    Rating, 3.9 out of 5 stars
    ·
    379 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • 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, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    82 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • AI in Healthcare & Drug Discovery: AI CERTs
  • Gradient to Production: MLOps & Model Serving: Coursera
  • IBM Data Analyst Capstone Project: IBM
  • Machine Learning for Trading: Google Cloud
  • Data Analysis and Interpretation: Wesleyan University
  • Data Analysis and Visualization with Python: Microsoft
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Principal Component Analysis with NumPy: Coursera

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