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  • Scikit Learn머신러닝라이브러리

Results for "scikit learn(머신 러닝 라이브러리)"


  • Status: Preview
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    D

    DeepLearning.AI

    النماذج المتعاقبة

    Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Time Series Analysis and Forecasting, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Feature Engineering, Python Programming, Linear Algebra, NumPy, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    N

    National Taiwan University

    人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

    Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Computational Logic, Supervised Learning, Computer Science, Decision Tree Learning, Unsupervised Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

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

    4.7
    Rating, 4.7 out of 5 stars
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    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    SAS

    머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Predictive Analytics, Supervised Learning, Artificial Intelligence, Data Analysis, Decision Tree Learning, Regression Analysis, Statistical Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Machine Learning, NumPy, Performance Tuning, Linear Algebra, Calculus

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Jupyter, Machine Learning Software, Applied Machine Learning, Image Analysis, Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Predictive Analytics, Deep Learning, Supervised Learning, Artificial Intelligence, Computer Vision, Unsupervised Learning, Text Mining, Natural Language Processing

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    DeepLearning.AI

    머신 러닝 프로젝트 구조화

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Technical Management, Machine Learning, Applied Machine Learning, Deep Learning, Debugging, Supervised Learning, Analysis, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    디지털 민주주의의 명암

    Skills you'll gain: Computer Security Awareness Training, Cybersecurity, Security Strategy, Policy Analysis, Public Policies, Vulnerability, Threat Detection, Human Factors, Human Computer Interaction, Technology Strategies, Emerging Technologies

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Mixed · 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
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    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Machine Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • النماذج المتعاقبة: DeepLearning.AI
  • 머신 러닝: 회귀 모델: University of Washington
  • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
  • 신경망 및 딥 러닝: DeepLearning.AI
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • 머신 러닝 프로젝트 구조화: DeepLearning.AI
  • 디지털 민주주의의 명암: University of Michigan
  • Machine Learning Basics: Sungkyunkwan University

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