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  • Scikit Learn

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


  • M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security

    3.7 stars, 71 reviews, Intermediate, Course, 1 - 3 Months

    ★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, PySpark, Model Training, Applied Machine Learning, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Data Science, Python Programming, Design Thinking

    4.3 stars, 65 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.3 (65) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Model Training, Machine Learning Methods, Data Processing, Deep Learning, Data Transformation, Model Deployment, Data Pipelines, Data Manipulation, Model Evaluation, Machine Learning, Exploratory Data Analysis

    3.1 stars, 80 reviews, Intermediate, Course, 1 - 3 Months

    ★ 3.1 (80) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • M

    Microsoft

    Prepare for DP-100: Data Science on Microsoft Azure Exam

    Skills you'll gain: Databricks, Model Deployment, Responsible AI, Model Training, Microsoft Azure, Data Science, Applied Machine Learning, Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning Methods, Machine Learning, Data Preprocessing

    4.4 stars, 80 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.4 (80) · Intermediate · Course · 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, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Python Programming, Machine Learning

    4.3 stars, 128 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.3 (128) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, Applied Machine Learning, AI Workflows, IBM Cloud, AI Integrations, Model Evaluation, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming

    4.5 stars, 62 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.5 (62) · Advanced · 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 stars, 12 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 3.7 (12) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Practical Python for AI Coding 2

    Skills you'll gain: Matplotlib, Data Visualization, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Data Manipulation

    4.6 stars, 26 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.6 (26) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • 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

    4.4 stars, 191 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.4 (191) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    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

    4.2 stars, 19 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.2 (19) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    AI-Powered Decision Intelligence: Data to Strategic Insights

    Skills you'll gain: Classification And Regression Tree (CART), Dashboard Creation, Dashboard, Decision Intelligence, Descriptive Statistics, Root Cause Analysis, Data Analysis, Predictive Modeling, Advanced Analytics, Tableau Software, Scikit Learn (Machine Learning Library), Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Apache Spark, Keras (Neural Network Library), Retrieval-Augmented Generation, Reinforcement Learning, Apache Kafka, SQL

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
1…111213…834

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

  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • AI Workflow: Enterprise Model Deployment: IBM
  • Perform data science with Azure Databricks: Microsoft
  • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • AI Workflow: AI in Production: IBM
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Practical Python for AI Coding 2: Korea Advanced Institute of Science and Technology(KAIST)
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera

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