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Scikit-learn 课程

Scikit-learn 课程可以帮助您学习数据预处理、模型选择和 Evaluation 技术,以及监督和非监督学习方法。您可以掌握特征工程、超参数调整以及决策树和支持向量机等算法的实施技能。许多课程还介绍了 Jupyter Notebook 和 Python 库等工具,这些工具支持应用机器学习概念和 Visualization 数据,以获得可行的见解。


Scikit-learn 热门课程和认证


  • E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    混合 · 课程 · 1-4 周

  • P

    Packt

    Intermediate Python – Libraries, Tools & Practical Projects

    您将获得的技能: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Data Visualization, JSON, Dashboard, Data Visualization Software, Jupyter, Web Applications

    中级 · 课程 · 1-3 个月

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    您将获得的技能: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

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

    中级 · 指导项目 · 不超过 2 小时

  • U

    University of Leeds

    Programming for Data Science

    您将获得的技能: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science

    4.4
    评分, 4.4 星,最高 5 星
    ·
    30 条评论

    初级 · 课程 · 1-4 周

  • P

    Packt

    Harnessing Open Source LLMs and ChatGPT with Minimal Code

    您将获得的技能: ChatGPT, OpenAI API, Model Deployment, LLM Application, Tool Calling, Large Language Modeling, Prompt Engineering, Application Programming Interface (API), No-Code Development, Python Programming, Software Installation, Open Source Technology, Development Environment, Data Science

    初级 · 课程 · 1-4 周

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    您将获得的技能: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    初级 · 课程 · 1-3 个月

  • E

    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    您将获得的技能: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    混合 · 课程 · 1-3 个月

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    您将获得的技能: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

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

    中级 · 指导项目 · 不超过 2 小时

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    您将获得的技能: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy

    中级 · 课程 · 1-3 个月

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    您将获得的技能: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

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

    初级 · 指导项目 · 不超过 2 小时

  • E

    Edureka

    Machine Learning with PySpark

    您将获得的技能: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    中级 · 课程 · 1-4 周

  • E

    EDUCBA

    Machine Learning with Python: Case Studies

    您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing

    混合 · 课程 · 1-4 周

1…678…834

总之,以下是 10 最受欢迎的 scikit learn 课程

  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Intermediate Python – Libraries, Tools & Practical Projects: Packt
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Programming for Data Science: University of Leeds
  • Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Machine Learning Pipelines with Azure ML Studio: Coursera

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