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
您将获得的技能: Statistical Inference, Statistical Programming, Regression Analysis, Logistic Regression, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Probability & Statistics, Statistical Hypothesis Testing, Probability Distribution
MathWorks
您将获得的技能: 模型培训, Data Validation, 数据预处理, 数据验证, 机器学习, Model Evaluation, 模型优化, 监督学习, 机器学习方法, 预测建模, 功能工程, 模型评估, 统计机器学习, 回归分析, 应用机器学习, Matlab, 分类算法
University of Colorado Boulder
您将获得的技能: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression
Arizona State University
您将获得的技能: Statistics, Probability & Statistics, Analytics, Exploratory Data Analysis, Estimation, Logistic Regression
Macquarie University
您将获得的技能: 数据可视化, 统计建模, Model Evaluation, 统计方法, 相关性分析, 统计分析, 预测建模, 预测, 回归分析, 模型评估, 数据可视化软件, Microsoft Excel, 时间序列分析和预测
您将获得的技能: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming
Maven Analytics
您将获得的技能: 模型培训, 数据分析, 数据预处理, 商业智能, 机器学习, 数据科学, 无监督学习, Model Evaluation, 模型优化, 监督学习, 机器学习方法, 预测, 应用机器学习, 模型评估, 统计分析, 回归分析, 数据挖掘, 时间序列分析和预测, 统计方法, 探索性数据分析, 分类算法
您将获得的技能: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment
University of Michigan
您将获得的技能: 逻辑回归, 统计推理, 高级分析, 统计建模, Model Evaluation, 预测建模, 模型评估, 统计分析, 统计软件, Python 编程, Jupyter, 统计方法, 数据可视化软件, 探索性数据分析, 回归分析, 依赖性分析, 统计编程, 贝叶斯统计, 相关性分析
您将获得的技能: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Predictive Modeling, Machine Learning
您将获得的技能: SAS (Software), Logistic Regression, Predictive Modeling, Predictive Analytics, Statistical Modeling, Regression Analysis, Statistical Software, Statistical Programming, Statistical Analysis, Model Evaluation, Statistical Inference, Model Training, Model Deployment, Data Analysis, Statistical Methods, Correlation Analysis, Statistical Hypothesis Testing, Probability
您将获得的技能: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming
总之，以下是 10 最受欢迎的 linear regression 课程
- Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
- 使用 MATLAB 进行预测建模和机器学习: MathWorks
- Data Analysis with Python Project : University of Colorado Boulder
- Probability, Statistical Inference and Regression Analysis: Arizona State University
- 用于业务预测的 Excel 回归模型: Macquarie University
- Logistic Regression with NumPy and Python: Coursera
- 机器学习完全可视化指南: Maven Analytics
- Matrix Calculus for Data Science & Machine Learning: Packt
- 用 Python 对数据拟合统计模型: University of Michigan
- Regression Analysis for Statistics & Machine Learning in R: Packt
