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
University of Michigan
您将获得的技能: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation
Birla Institute of Technology & Science, Pilani
您将获得的技能: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Geometry, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation
您将获得的技能: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability
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
Johns Hopkins University
您将获得的技能: 预测建模, 高级分析, 统计建模, 公共卫生, 统计推理, 统计分析, Model Evaluation, 回归分析, 逻辑回归, 模型评估, 概率与统计, 生物统计学, 统计方法
IBM
您将获得的技能: 预测建模, 机器学习, 数据预处理, 统计建模, 监督学习, 分类算法, 数据展示, 功能工程, 统计分析, 模型培训, 机器学习算法, 机器学习方法, Model Evaluation, 模型评估, 回归分析, 统计机器学习, 应用机器学习, 统计方法, 模型优化
University of Michigan
您将获得的技能: 预测建模, 统计建模, 数据处理, 分析, 概率, 数据分析, 道德标准与行为, 逻辑回归, Model Evaluation, 模型评估, 回归分析, 预测, Pandas（Python 软件包）, Python 编程
您将获得的技能: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
University of Colorado Boulder
您将获得的技能: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering
Arizona State University
您将获得的技能: Probability & Statistics, Analytical Skills, Exploratory Data Analysis, Estimation, Logistic Regression
Illinois Tech
您将获得的技能: 相关性分析, 数据转换, 绘图（图形）, 验证和确认, 统计建模, 统计假设检验, R 程序设计, 功能工程, 统计分析, 统计推理, Model Evaluation, 回归分析, 模型评估, 统计方法, 散点图
总之，以下是 10 最受欢迎的 linear regression 课程
- Logistic Regression and Prediction for Health Data: University of Michigan
- Regression & Logistic Models in Excel & Minitab: EDUCBA
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- Regression: Identify Assumptions & Apply Models: Coursera
- Supervised Learning Regression Classification Clustering: Simplilearn
- 公共卫生中的多元回归分析: Johns Hopkins University
- 有监督的机器学习：回归: IBM
- 体育数据预测模型: University of Michigan
- Mining Quality Prediction Using Machine & Deep Learning: Coursera
- Data Analysis with Python Project : University of Colorado Boulder
