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
Deep Teaching Solutions
您将获得的技能: Prompt Engineering, Multimodal Prompts, Creative Thinking, ChatGPT, Learning Strategies, Curiosity, Critical Thinking, Generative AI, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks, Technical Communication
University of Michigan
您将获得的技能: 数据分析, 机器学习, 模型评估, 逻辑回归, Model Evaluation, 分类算法, 机器学习算法, 分类与回归树 (CART), 预测建模, 决策树学习, 监督学习, 分析, 功能工程, 数据预处理, Python 编程, Scikit Learn（机器学习库）, 应用机器学习, 预测分析
The University of Chicago
您将获得的技能: 机器学习, 模型评估, 深度学习, Pandas（Python 软件包）, 回归分析, 无监督学习, 分类算法, 机器学习算法, 降维, Model Evaluation, 功能工程, 监督学习, Scikit Learn（机器学习库）, 张力流, 数据预处理, 统计方法, 随机森林算法, Keras（神经网络库）, 应用机器学习
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
University of Michigan
您将获得的技能: 数据操作, Pandas（Python 软件包）, 分类算法, 无监督学习, 监督学习, 功能工程, 自然语言处理, Scikit Learn（机器学习库）, Python 编程, 数据预处理, 文本挖掘
您将获得的技能: Data Storytelling, Plotly, Matplotlib, Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Scatter Plots, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
您将获得的技能: Selenium (Software), Test Automation, Behavior-Driven Development, Gherkin (Scripting Language), Software Testing, Unit Testing, Test Script Development, Regression Testing, Test Case, Continuous Integration, Automation, Software Design Patterns, Web Development Tools, Maintainability, Python Programming, UI Components
您将获得的技能: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
您将获得的技能: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation
您将获得的技能: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
University of Michigan
您将获得的技能: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Python Programming, Classification Algorithms
LearnQuest
您将获得的技能: 机器学习, 数据转换, 无监督学习, 数据清理, 预测建模, 人工神经网络, 分类算法, 降维, 监督学习, Scikit Learn（机器学习库）, Python 编程, 数据预处理, 随机森林算法, 应用机器学习
总之，以下是 10 最受欢迎的 scikit learn 课程
- Accelerate Your Learning with ChatGPT: Deep Teaching Solutions
- 体育分析中的机器学习入门: University of Michigan
- 机器学习：概念与应用: The University of Chicago
- Machine Learning in Python: Analyze & Apply: EDUCBA
- Python 中的应用文本挖掘: University of Michigan
- Explore and Visualize Data the Python Way: Coursera
- Apply Selenium Automation Testing Using Python: EDUCBA
- From Raw to Ready: Data Preparation in Python: Coursera
- Machine Learning with Python: Diabetes Prediction: EDUCBA
- Machine Learning with Python & Statistics: EDUCBA
