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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
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    Politecnico di Milano

    Learning with AI

    Skills you'll gain: Large Language Modeling, LLM Application, Learning Strategies, Education Software and Technology, AI Personalization, AI literacy, Lifelong Learning, Human Learning, Adult Learning Principles, Student-Centred Learning, Generative AI, Critical Thinking, Goal Setting

    5
    Rating, 5 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    Universidad Austral

    Introducción al procesamiento de lenguaje natural

    Skills you'll gain: Natural Language Processing, Data Processing, Data Preprocessing, Text Mining, AI Orchestration, Pandas (Python Package), Analysis, Big Data, Process Modeling, File Management, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    27 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    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
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    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Model Evaluation, Data Cleansing, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Presentation, Machine Learning, Model Optimization, Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Universidad Austral

    Limpieza de datos para el procesamiento de lenguaje natural

    Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Preprocessing, Data Cleansing, Data Manipulation, Natural Language Processing, Jupyter, Pandas (Python Package), Hypertext Markup Language (HTML), JavaScript Frameworks, Data Collection

    4.3
    Rating, 4.3 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing

    3.9
    Rating, 3.9 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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: New
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    Status: Free Trial
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    EDUCBA

    Apply Artificial Intelligence Using Python for Beginners

    Skills you'll gain: AI Workflows, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    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
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    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization

    4.4
    Rating, 4.4 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Learning with AI: Politecnico di Milano
  • Introducción al procesamiento de lenguaje natural: Universidad Austral
  • Learning Deep Learning: Unit 3: Pearson
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Applied Unsupervised Learning in Python: University of Michigan
  • Limpieza de datos para el procesamiento de lenguaje natural: Universidad Austral
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Data Processing and Exploration with NumPy & Pandas: Packt
  • Apply Artificial Intelligence Using Python for Beginners: EDUCBA
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt

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