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Imperial College London
您将获得的技能: 机器学习算法, 数学建模, 人工神经网络, 高等数学, 衍生产品, 回归分析, 微积分, 线性代数, Python 编程
状态：免费试用University of Michigan
您将获得的技能: 贝叶斯统计, 数据可视化软件, 统计软件, 统计分析, Model Evaluation, 统计建模, 统计编程, 回归分析, 模型评估, Jupyter, 统计机器学习, 统计推理, 预测建模, 逻辑回归, Python 编程, 统计方法
状态：预览您将获得的技能: Logistic Regression, Model Evaluation
状态：免费试用Illinois Tech
您将获得的技能: 统计假设检验, 数据验证, 探索性数据分析, 统计分析, 绘图（图形）, Model Evaluation, Data Validation, 统计建模, 回归分析, R 程序设计, 概率分布, 时间序列分析和预测, 相关性分析, 模型评估, 统计推理, 数据转换
状态：免费试用University of Colorado Boulder
您将获得的技能: 数据伦理, 数学建模, 统计分析, 概率与统计, Model Evaluation, 统计建模, 数据建模, 回归分析, 数据科学, R 程序设计, 功能工程, 模型评估, 预测建模, 统计推理, 统计方法
状态：免费试用University of Colorado Boulder
您将获得的技能: Regression Analysis, Supervised Learning, Model Evaluation, Logistic Regression, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Data Preprocessing, Exploratory Data Analysis
状态：预览Northeastern University
您将获得的技能: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Business Modeling, Complex Problem Solving, Spreadsheet Software
您将获得的技能: Ggplot2, Model Evaluation, Data Visualization, Regression Analysis, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Data Analysis
状态：免费试用University of Michigan
您将获得的技能: Model Evaluation, 分析, 统计建模, 回归分析, 模型评估, 概率, Pandas（Python 软件包）, 道德标准与行为, 预测, 预测建模, 数据分析, 数据处理, 逻辑回归, Python 编程
状态：免费试用您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
您将获得的技能: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
您将获得的技能: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
总之，以下是 10 最受欢迎的 linear regression 课程
- 机器学习数学多元微积分: Imperial College London
- 用 Python 对数据拟合统计模型: University of Michigan
- SPSS: Apply & Interpret Logistic Regression Models: EDUCBA
- 模型诊断和补救措施: Illinois Tech
- 用 R 进行现代回归分析: University of Colorado Boulder
- Regression Analysis: University of Colorado Boulder
- Industrial Optimization: Models & Linear Programming: Northeastern University
- Data Analysis in R: Predictive Analysis with Regression: Coursera
- 体育数据预测模型: University of Michigan
- Supervised Learning Regression Classification Clustering: Simplilearn
