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Results for "scikit learn (machine learning library)"

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Data Storytelling, OpenAI, ChatGPT, Analytics, Data Analysis, Interactive Data Visualization, Dashboard, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization Software, Statistical Analysis, Python Programming, Image Quality, Responsible AI, Query Languages, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.7K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    303 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, ChatGPT, Data Visualization, Dashboard, Data Storytelling, Data Visualization Software, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, SQL, Data Analysis, Image Quality, Responsible AI, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.6K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Deployment Scenarios with TensorFlow

    Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Machine Learning, Distributed Computing, Information Privacy, Web Servers, Application Programming Interface (API), Data Processing, Data Security, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    510 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Edureka

    Gemini and Vertex AI: Building Intelligent Applications

    Skills you'll gain: Prompt Engineering, Generative AI, Google Gemini, Generative AI Agents, Application Deployment, LLM Application, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Google Cloud Platform, Artificial Intelligence, Responsible AI, AI Personalization, Performance Tuning, Application Programming Interface (API), Python Programming, Software Development Tools, Cloud Platforms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Data Transformation, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    192 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera Project Network

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning, NumPy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    434 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    118 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Keras (Neural Network Library), Deep Learning, Heat Maps, Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API

    4.5
    Rating, 4.5 out of 5 stars
    ·
    546 reviews

    Advanced · Course · 1 - 3 Months

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

  • Generative AI for Data Analysts: IBM
  • Python Essentials for MLOps: Duke University
  • Generative AI for Business Intelligence (BI) Analysts: IBM
  • Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
  • Gemini and Vertex AI: Building Intelligent Applications: Edureka
  • Customising your models with TensorFlow 2: Imperial College London
  • K-Means Clustering 101: World Happiness Report: Coursera Project Network
  • AI Workflow: AI in Production: IBM
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Generative AI Language Modeling with Transformers: IBM

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