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  • Scikit Learn머신러닝라이브러리

Results for "scikit learn(머신 러닝 라이브러리)"


  • Status: Preview
    Preview
    U

    University of Michigan

    사람, 기술, 모빌리티의 미래

    Skills you'll gain: Social Sciences, Automation, Economics, Policy, and Social Studies, Social Studies, Socioeconomics, Electrical Systems, Electric Power Systems, Transportation Operations, Health Equity, Sociology, Policy Analysis, Sustainable Systems, Emerging Technologies, Technology Roadmaps, Environmental Issue, Sustainable Development, Climate Change Mitigation, Augmented and Virtual Reality (AR/VR), Computer Vision, Diversity Equity and Inclusion Initiatives

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    프로덕션 머신러닝 시스템

    Skills you'll gain: MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Machine Learning, Systems Architecture, Data Validation, Technical Design, Performance Tuning, Distributed Computing, Scalability, Data Pipelines, Debugging

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence, Machine Learning, Computer Vision, Data Literacy, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    로봇공학: 캡스톤 디자인

    Skills you'll gain: Control Systems, Robotic Process Automation, Automation, Artificial Intelligence, Programmable Logic Controllers, Matlab, Simulation and Simulation Software, Embedded Software, Engineering, Computer Vision, Mathematical Modeling, Mechanics, Algorithms, Estimation, Differential Equations, Linear Algebra

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    파이썬의 데이터 과학 소개

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    데이터 과학자의 도구 상자

    Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    파이썬의 응용 소셜 네트워크 분석

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Predictive Analytics, Predictive Modeling, Pandas (Python Package), Matplotlib, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    Tsinghua University

    Learn English

    Skills you'll gain: Cultural Diversity, Cultural Sensitivity, Mental Health, Learning Strategies, Culture, Emotional Intelligence, Liberal Arts, English Language, Social Sciences, Literacy, Language Learning, Economics, Interpersonal Communications, Psychology, Writing, Research, Business Management, Grammar, Higher Education, Oral Comprehension

    4.3
    Rating, 4.3 out of 5 stars
    ·
    961 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northwestern University

    현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션

    Skills you'll gain: Control Systems, Robotic Process Automation, Simulations, Record Keeping, Matlab, Computer Programming, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

1234…834

In summary, here are 10 of our most popular scikit learn(머신 러닝 라이브러리) courses

  • 사람, 기술, 모빌리티의 미래: University of Michigan
  • 프로덕션 머신러닝 시스템: Google Cloud
  • 모두를 위한 머신 러닝: University of London
  • 로봇공학: 캡스톤 디자인: University of Pennsylvania
  • 파이썬의 데이터 과학 소개: University of Michigan
  • 데이터 과학자의 도구 상자: Johns Hopkins University
  • 파이썬의 응용 소셜 네트워크 분석: University of Michigan
  • Learn English: Tsinghua University
  • 시퀀스 모델: DeepLearning.AI
  • 현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션: Northwestern University

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