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University of Colorado System
您将获得的技能: Estimation, Advanced Mathematics, Mathematical Modeling, Matlab, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability, Statistical Inference, Probability & Statistics
您将获得的技能: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning
状态：预览您将获得的技能: Linear Algebra, Applied Mathematics, Algebra, Calculus, Advanced Mathematics, Differential Equations, Mathematical Modeling
状态：预览您将获得的技能: Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Applied Mathematics, Mathematical Theory & Analysis, Mathematical Modeling
状态：免费试用Imperial College London
您将获得的技能: Algorithm, 微积分, Python 编程, 数据预处理, 功能工程, Jupyter, 人工神经网络, 高等数学, 应用数学, 降维, 衍生产品, NumPy, 线性代数, 机器学习算法, 无监督学习, 回归分析, 统计资料, 数学建模, 算法
状态：免费试用您将获得的技能: Model Evaluation, 机器学习, Scikit Learn（机器学习库）, 分类算法, 监督学习, Python 编程, 功能工程, 应用机器学习, 降维, 逻辑回归, 无监督学习, 回归分析, 决策树学习, 预测建模, 模型评估
状态：预览Erasmus University Rotterdam
您将获得的技能: 统计分析, Model Evaluation, 同行评审, 概率, 数据分析, 案例研究, 预测, 分析, 计量经济学, 逻辑回归, 线性代数, 回归分析, 统计资料, 模型评估, 时间序列分析和预测
状态：免费试用DeepLearning.AI
您将获得的技能: 监督学习, 微积分, Python 编程, 人工神经网络, 深度学习, 应用机器学习, 递归神经网络 (RNN), 线性代数, 卷积神经网络
状态：免费试用您将获得的技能: Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, R Programming, Data Import/Export, Programming Principles, Predictive Modeling, Data Science, Unsupervised Learning, Machine Learning, Project Management
状态：免费试用DeepLearning.AI
您将获得的技能: 统计分析, 数据预处理, 机器学习, 微积分, 概率, 统计推理, 概率分布, 降维, 应用数学, 描述性统计, 线性代数, 机器学习方法, NumPy, 抽样（统计）, 数学建模, 数值分析, A/B 测试, 概率与统计, 统计假设检验, 贝叶斯统计
状态：免费试用Johns Hopkins University
您将获得的技能: 统计分析, 机器学习, Model Evaluation, 统计推理, Plotly, 版本控制, 机器学习算法, Rmarkdown, R 程序设计, 探索性数据分析, 回归分析, GitHub, 预测建模, 模型评估, 统计假设检验, 数据清理, 数据科学, 交互式数据可视化, 数据操作, 闪亮（R 套件）, 绘图（图形）
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
总之，以下是 10 最受欢迎的 linear regression 课程
- Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
- Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
- Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
- Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
- 机器学习数学: Imperial College London
- 使用 Python 进行机器学习: IBM
- 计量经济学：方法与应用: Erasmus University Rotterdam
- 神经网络与深度学习: DeepLearning.AI
- Data Science Foundations: IBM
- 机器学习和数据科学数学: DeepLearning.AI
