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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


  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    5 stars, 12 reviews, Intermediate, Course, 1 - 4 Weeks

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

    Status: Free trial
    Free trial
  • P

    Packt

    Data Processing and Exploration with NumPy & Pandas

    Skills you'll gain: Data Processing, Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Numerical Analysis, Exploratory Data Analysis, Data Cleansing, Data Structures

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • L

    Logical Operations

    Python Data Science: NumPy

    Skills you'll gain: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Python Programming, Data Management, Virtual Machines, Virtualization and Virtual Machines, Computer Programming, Computer Programming Tools, Software Development

    Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • 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 stars, 14 reviews, Beginner, Course, 1 - 4 Weeks

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

    Status: Free trial
    Free trial
  • P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • 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, Data Analysis

    Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: Model Evaluation, ChatGPT, Generative AI, Fine-tuning, Keras (Neural Network Library), Large Language Modeling, Model Training, Model Optimization, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks

    4.4 stars, 36 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.4 (36) · Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Learning TensorFlow: the Hello World of Machine Learning

    Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment

    4 stars, 20 reviews, Beginner, Project, Less Than 2 Hours

    ★ 4 (20) · Beginner · Project · Less Than 2 Hours

  • 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

    Status: Free trial
    Free trial
  • P

    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Tensorflow, Convolutional Neural Networks, LLM Application, Computer Vision, Responsible AI, Generative Model Architectures, Model Training, Generative AI, Data Ethics, Multimodal Prompts, Artificial Intelligence, Network Model

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Model Optimization, Model Training, Applied Machine Learning, Data Manipulation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular scikit-learn courses

  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Data Processing and Exploration with NumPy & Pandas: Packt
  • Python Data Science: NumPy: Logical Operations
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • NLP – Machine Learning Models in Python: Packt
  • Machine Learning Projects in R with Caret: EDUCBA
  • Machine Learning with ChatGPT: Image Classification Model: Coursera
  • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
  • Applied Information Extraction in Python: University of Michigan
  • Learning Deep Learning: Unit 3: Pearson

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