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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


  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Product Analytics Unlocked: Metrics to Meaningful Insight

    Skills you'll gain: Data Storytelling, Data Presentation, Conversion Funnel Analysis, Dashboard, Data Pipelines, Strategic Prioritization, Customer Retention, Customer Analysis, Product Strategy, SQL, Data Analysis, Business Intelligence, Data Warehousing, Pandas (Python Package), Performance Metric, Statistical Analysis, Scikit Learn (Machine Learning Library), Decision Making, Resource Allocation, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 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

  • P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    462 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Accounting Data Analytics

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Data Visualization, Model Optimization, Scikit Learn (Machine Learning Library), Matplotlib, Data Literacy, Tableau Software, Plot (Graphics), Data Presentation, Interactive Data Visualization, Data Visualization Software, Unsupervised Learning, Exploratory Data Analysis, Pandas (Python Package), Seaborn, Data Preprocessing, Model Training, Machine Learning, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    586 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Text Mining, Machine Learning, Big Data, Model Evaluation, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Applied NLP and Generative AI

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Model Optimization, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • 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, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Embed Everything

    Skills you'll gain: Embeddings, Scikit Learn (Machine Learning Library), Transfer Learning, NumPy, Data Pipelines, Unstructured Data, Applied Machine Learning, Python Programming, Natural Language Processing, Dimensionality Reduction, AI Workflows, Machine Learning Methods, Scripting, Model Evaluation, Scientific Visualization, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

1234…9

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

  • IBM Introduction to Machine Learning: IBM
  • ML Model Training & Validation: Coursera
  • Product Analytics Unlocked: Metrics to Meaningful Insight: Coursera
  • ML Production Systems: Coursera
  • Data Analysis and Visualization with Python: Microsoft
  • Data Science Fundamentals, Part 1: Pearson
  • Supervised Machine Learning: Classification: IBM
  • Accounting Data Analytics: University of Illinois Urbana-Champaign
  • Unsupervised Machine Learning: IBM
  • Applied NLP and Generative AI: Packt

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