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  • Scikit Learn Machine Learning Library

个结果,搜索词为 "scikit learn (machine learning library)"


  • E

    EDUCBA

    Learn & Build Machine Learning Models with Python

    您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming

    中级 · 课程 · 1-4 周

  • A

    Alberta Machine Intelligence Institute

    机器学习算法:监督学习从头到尾

    您将获得的技能: 数据预处理, 数据处理, 工艺优化, 决策树学习, 回归分析, Scikit Learn(机器学习库), 模型评估, Python 编程, 机器学习算法, 分类算法, 功能工程, 业务解决方案, Jupyter, 应用机器学习, 性能分析, 机器学习, 监督学习

    4.7
    评分, 4.7 星,最高 5 星
    ·
    417 条评论

    混合 · 课程 · 1-4 周

  • U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    评分, 4.5 星,最高 5 星
    ·
    44 条评论

    中级 · 专项课程 · 3-6 个月

  • I

    IBM

    使用 Python 进行机器学习

    您将获得的技能: 无监督学习, 决策树学习, Scikit Learn(机器学习库), 回归分析, 降维, 模型评估, 分类算法, 预测建模, Python 编程, 逻辑回归, 应用机器学习, 机器学习, 功能工程, 监督学习

    4.7
    评分, 4.7 星,最高 5 星
    ·
    1.8万 条评论

    中级 · 课程 · 1-3 个月

  • U

    University of Michigan

    Python 中的应用机器学习

    您将获得的技能: 无监督学习, 决策树学习, 回归分析, 模型评估, Python 编程, 随机森林算法, 分类算法, Scikit Learn(机器学习库), 预测建模, 功能工程, 应用机器学习, 监督学习, 人工神经网络, 机器学习

    4.6
    评分, 4.6 星,最高 5 星
    ·
    8771 条评论

    中级 · 课程 · 1-4 周

  • C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face

    4.6
    评分, 4.6 星,最高 5 星
    ·
    20 条评论

    中级 · 专业证书 · 3-6 个月

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  • O

    O.P. Jindal Global University

    Machine Learning

    您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Predictive Modeling, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    攻读学位

    3.9
    评分, 3.9 星,最高 5 星
    ·
    9 条评论

    初级 · 课程 · 1-3 个月

  • G

    Google

    The Nuts and Bolts of Machine Learning

    您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    评分, 4.8 星,最高 5 星
    ·
    610 条评论

    高级设置 · 课程 · 1-3 个月

  • E

    EDUCBA

    AI Machine Learning with R & Python Projects

    您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    评分, 4.5 星,最高 5 星
    ·
    16 条评论

    初级 · 专项课程 · 3-6 个月

  • E

    EDUCBA

    AI Driven Machine Learning with Python

    您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.9
    评分, 4.9 星,最高 5 星
    ·
    12 条评论

    初级 · 专项课程 · 1-3 个月

  • P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    中级 · 课程 · 3-6 个月

  • B

    Board Infinity

    Java in Machine Learning

    您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    中级 · 专项课程 · 1-3 个月

1234…834

总之,以下是 10 最受欢迎的 scikit learn (machine learning library) 课程

  • Learn & Build Machine Learning Models with Python: EDUCBA
  • 机器学习算法:监督学习从头到尾: Alberta Machine Intelligence Institute
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • 使用 Python 进行机器学习: IBM
  • Python 中的应用机器学习: University of Michigan
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Machine Learning: O.P. Jindal Global University
  • The Nuts and Bolts of Machine Learning: Google
  • AI Machine Learning with R & Python Projects: EDUCBA
  • AI Driven Machine Learning with Python: EDUCBA

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