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
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)
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)
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
Duke University
您将获得的技能: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Exploratory Data Analysis, Image Analysis, Data Science, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming, Data Import/Export
Scrimba
您将获得的技能: Python Programming, Programming Principles, Data Structures, Computer Programming, Computational Thinking, Web Development Tools, Web Development, Software Engineering
您将获得的技能: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
Universidad Austral
您将获得的技能: Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning
您将获得的技能: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unstructured Data, Python Programming, Algorithms
Fred Hutchinson Cancer Center
您将获得的技能: Continuous Integration, Continuous Deployment, CI/CD, GitHub, Docker (Software), Software Development, Development Environment, Test Automation, Automation, Debugging, YAML
University of Michigan
您将获得的技能: ChatGPT, Machine Learning Methods, Data Mining, Generative AI, Recurrent Neural Networks (RNNs), Data Preprocessing, Python Programming, Machine Learning Algorithms, Data Manipulation
Università di Napoli Federico II
您将获得的技能: Responsible AI, Digital pedagogy, LLM Application
Google Cloud
您将获得的技能: 机器学习, 云计算, 深度学习, 开发环境, Google Cloud 平台, 监督学习, 脚本, 张力流, 人工神经网络
总之，以下是 10 最受欢迎的 scikit learn 课程
- Build a Machine Learning Web App with Streamlit and Python: Coursera
- Machine Learning: Random Forest with Python from Scratch©: Packt
- Intermediate Python – Libraries, Tools & Practical Projects: Packt
- Data Science with NumPy, Sets, and Dictionaries: Duke University
- Learn Python: 2: Scrimba
- Jupyter & Python: Visualize, Optimize & Accelerate: EDUCBA
- NLP Modelos y Algoritmos: Universidad Austral
- NLP – Machine Learning Models in Python: Packt
- Smarter Scientific Software Development with GitHub Actions: Fred Hutchinson Cancer Center
- Applied Information Extraction in Python: University of Michigan
