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Results for "scikit learn (machine learning library)"

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    729 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Applied Machine Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Pearson

    AWS Certified AI Practitioner (AIF-C01)

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Data Ethics, Application Deployment, Large Language Modeling, Amazon Web Services, Machine Learning, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Governance, Data Security, Business Metrics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    58 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Natural Language Processing, Generative AI, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    S

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I
    U
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    115K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular scikit learn (machine learning library) courses

  • Foundations and Core Concepts of PyTorch: Packt
  • IBM Generative AI Engineering with LLMs: IBM
  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • AWS Certified AI Practitioner (AIF-C01): Pearson
  • Generative AI: Introduction and Applications: IBM
  • AI Workflow: Enterprise Model Deployment: IBM
  • Sequence Models: DeepLearning.AI
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Introduction to Linear Regression Training : Simplilearn
  • Introduction to Neural Networks and PyTorch: IBM

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