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  • No Code Ml

Results for "no-code ml"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    59 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Develop No-Code Chat Apps with AppSheet

    Skills you'll gain: No-Code Development, Application Deployment, Google Cloud Platform, Cloud Applications, Google Workspace, Product Automation, Application Design

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Debugging, Data Storage, Scalability, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

    4.8
    Rating, 4.8 out of 5 stars
    ·
    310 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership

    Skills you'll gain: Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Responsible AI, Performance Measurement, Predictive Modeling, Leadership and Management, Predictive Analytics, Data Processing, Fraud detection, Business Leadership, Business Transformation, Data-Driven Decision-Making, Business Priorities, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    77 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Applied Machine Learning, Data Pipelines, CI/CD, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Français

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Feature Engineering, Data Processing, MLOps (Machine Learning Operations), Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Application Deployment, Machine Learning, Scalability

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular no-code ml courses

  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Build your first Machine Learning Pipeline using Dataiku : Coursera
  • Develop No-Code Chat Apps with AppSheet: Google Cloud
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • Managing Machine Learning Projects: Duke University
  • Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership: SAS
  • Vertex Pipelines: Qwik Start: Google Cloud
  • AI with Python: Apply & Implement ML Models: EDUCBA

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