线性回归课程
Linear Regression 课程可以帮助您学习如何分析变量之间的关系、解释系数和评估模型性能。您可以培养数据可视化、假设检验和根据数据趋势进行预测的技能。许多课程介绍了 Python、R 和 Excel 等工具，这些工具支持实施回归模型和有效分析数据集。
热门线性回归课程和认证
状态：免费试用Duke University
您将获得的技能: Responsible AI, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Deep Learning, Artificial Neural Networks
状态：预览Ludwig-Maximilians-Universität München (LMU)
您将获得的技能: Python 程序设计, 数学建模, 模拟, 应用数学, 微分方程, 工程分析, 工程计算, 机械, 数值分析, 分布式计算, Jupyter, 有限元方法, 振动
状态：免费试用University of Colorado Boulder
您将获得的技能: 编辑, 后期制作, 脚本, 创造力, 质量保证, 叙事, 故事板, Adobe Creative Cloud, 平面和视觉设计, 视频编辑, 文件管理, 摄影, 视频制作, 媒体制作, 写作, Adobe Premiere, 摄像, 时间表, 多媒体
您将获得的技能: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis
状态：预览University of Washington
您将获得的技能: Model Evaluation, Regression Analysis, Supervised Learning, Machine Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Data Preprocessing, Statistical Methods, Python Programming, Linear Algebra, Algorithms
状态：免费试用Duke University
您将获得的技能: 相关性分析, 演绎推理, 样本量的确定, 案例研究, 概率, 抽样（统计）, 科学方法
状态：免费Google Quantum AI
您将获得的技能: Debugging, Emerging Technologies, Hardware Architecture, Failure Analysis, Simulation and Simulation Software, Theoretical Computer Science, Mathematical Modeling, Computer Architecture, Simulations, Linear Algebra, Computer Science
状态：免费试用University of Colorado Boulder
您将获得的技能: Angular, 数学建模, 应用数学, 物理学, 线性代数
状态：免费试用University of Colorado Boulder
您将获得的技能: Robotics, Data Mapping, Real-Time Operating Systems, Simulations, Linear Algebra, Python Programming, Algorithms, Computer Programming
状态：免费试用University of Colorado Boulder
您将获得的技能: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, R Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Statistics, Applied Mathematics, Logistic Regression
Instituto Tecnológico de Aeronáutica
您将获得的技能: Control Systems, Matlab, Engineering Analysis, Simulations, Systems Analysis, Systems Engineering, System Design and Implementation, Mathematical Modeling, Differential Equations, Linear Algebra, Estimation
状态：免费试用您将获得的技能: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
总之，以下是 10 最受欢迎的 linear regression 课程
- Interpretable Machine Learning: Duke University
- 计算机、波浪、模拟：使用 Python 的数值方法实用入门: Ludwig-Maximilians-Universität München (LMU)
- 视觉叙事的艺术: University of Colorado Boulder
- Interpretable Machine Learning Applications: Part 2: Coursera
- 머신 러닝: 회귀 모델: University of Washington
- 再思考 III：如何归纳推理: Duke University
- Hands-on quantum error correction with Google Quantum AI: Google Quantum AI
- 角动量理论: University of Colorado Boulder
- Robotic Mapping and Trajectory Generation: University of Colorado Boulder
- Resampling, Selection and Splines: University of Colorado Boulder
