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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


  • Status: Free Trial
    Free Trial
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    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, LLM Application, Keras (Neural Network Library), Vector Databases, Fine-tuning, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    100K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing

    3.7
    Rating, 3.7 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Machine Learning, Data Preprocessing, Data Transformation, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    21 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python - Complete Python, Django, Data Science and ML Guide

    Skills you'll gain: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Plot (Graphics), Predictive Analytics, Statistical Visualization, Model Training, Model Evaluation, File I/O, Application Programming Interface (API), Programming Principles, Databases, Development Environment, Web Applications, Code Reusability, Data Management, Functional Design, Memory Management, Data Validation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R (Software), R Programming, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Services, Cloud API, Cloud Computing, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    115 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Deep Teaching Solutions

    Accelerate Your Learning with ChatGPT

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Creative Thinking, AI Personalization, AI literacy, ChatGPT, Ideation, Creativity, Learning Strategies, Curiosity, Critical Thinking, Generative AI, Image Analysis, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
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    555 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    ·
    468 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering

    Intermediate · Course · 1 - 4 Weeks

1234…834

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

  • IBM Generative AI Engineering: IBM
  • Applied Data Science with Python: University of Michigan
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • More Applied Data Science with Python: University of Michigan
  • Python - Complete Python, Django, Data Science and ML Guide: Packt
  • Tools for Data Science: IBM
  • Machine Learning with Apache Spark: IBM
  • Accelerate Your Learning with ChatGPT: Deep Teaching Solutions
  • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
  • Supervised Machine Learning: Classification: IBM

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