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  • Scikit Learn Machine Learning Library

Results for "scikit learn (machine learning library)"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Data Processing, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Cleansing, Data Transformation, Statistical Analysis, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

  • 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
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Supervised Learning, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter, Application Programming Interface (API)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    580 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    R

    Real Madrid Graduate School Universidad Europea

    Futuro de los datos y la tecnología - Echar un vistazo

    Skills you'll gain: Large Language Modeling, Image Analysis, Real Time Data, Computer Vision, Advanced Analytics, Reinforcement Learning, Emerging Technologies, Data Analysis, Data-Driven Decision-Making, Data Integration, Artificial Intelligence, Analysis, Machine Learning, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Data Collection, Innovation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Educators

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, LLM Application, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Deep Learning, Ethical Standards And Conduct, Information Privacy, Machine Learning, Emerging Technologies, Data Security

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Python Data Products for Predictive Analytics

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, Data Visualization, Interactive Data Visualization, Design Thinking, Applied Machine Learning, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Validation, Verification And Validation, Machine Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    249 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods, Deep Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    437 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Data Science: Johns Hopkins University
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Getting started with TensorFlow 2: Imperial College London
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Futuro de los datos y la tecnología - Echar un vistazo : Real Madrid Graduate School Universidad Europea
  • Generative AI for Educators: IBM
  • Python Data Products for Predictive Analytics: University of California San Diego
  • Introduction to Generative AI : Google Cloud

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