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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


  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    ★ 4.7 (417) · Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • P

    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, GitHub Copilot, Generative AI, ChatGPT, AI Integrations, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Model Optimization, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Statistical Machine Learning, Decision Tree Learning, Model Training, Machine Learning, Data Preprocessing, Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Data Processing

    ★ 4.7 (417) · Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

    ★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Random Forest Algorithm, Model Training, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    ★ 5 (12) · Mixed · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Applied Information Extraction in Python

    Skills you'll gain: ChatGPT, LLM Application, Machine Learning Methods, Model Training, Python Programming, Machine Learning Algorithms, Data Manipulation

    Advanced · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Jupyter & Python: Visualize, Optimize & Accelerate

    Skills you'll gain: Matplotlib, Plot (Graphics), Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Graphing, Jupyter, NumPy, Performance Tuning, Javascript and jQuery, Development Environment, Python Programming, Software Installation, Distributed Computing

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Processing, Data Science, Programming Principles, Text Mining, File I/O, Data Manipulation, Big Data, Performance Tuning, Python Programming, Probability Distribution

    ★ 4 (22) · Beginner · Course · 1 - 4 Weeks

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

  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Machine Learning Projects in R with Caret: EDUCBA
  • Machine Learning with Python: Case Studies: EDUCBA
  • Generative AI for Developers: Unit 2: Pearson
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Applied Information Extraction in Python: University of Michigan

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