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
DeepLearning.AI
您将获得的技能: 模型培训, 人工智能, 逻辑回归, NumPy, 数据预处理, 机器学习, Algorithm, Model Evaluation, 模型优化, 算法, 功能工程, 机器学习算法, Jupyter, 模型评估, Python 编程, 应用机器学习, 回归分析, 监督学习, 预测建模, Scikit Learn（机器学习库）, 分类算法
您将获得的技能: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis
Johns Hopkins University
您将获得的技能: 逻辑回归, 数据扫盲, 统计建模, 统计资料, 统计推理, 公共卫生, 定量研究, 统计假设检验, 概率与统计, 回归分析, 统计分析, 统计方法, 生物统计学, 风险建模
Imperial College London
您将获得的技能: 数据转换, 机器学习, 线性代数, 数据科学, Jupyter, 数据操作, 应用数学
University of Pittsburgh
您将获得的技能: Statistical Modeling, Bayesian Statistics, Logistic Regression, Regression Analysis, Predictive Modeling, Mathematical Modeling, Model Evaluation, Statistical Methods, Statistical Machine Learning, Markov Model, Data-Driven Decision-Making, Statistical Inference, Predictive Analytics, Statistical Analysis, Sampling (Statistics), Probability Distribution, Machine Learning Algorithms, Computational Thinking
Meta
您将获得的技能: 数据分析, 营销分析, 统计建模, 描述性统计, 统计资料, 统计推理, 描述性分析, 分析, 数据建模, 统计假设检验, 抽样（统计）, 统计分析, 电子表格软件, 回归分析, 统计软件, 概率与统计, 统计方法, Tableau 软件, 时间序列分析和预测, 贝叶斯统计
您将获得的技能: Model Evaluation, Regression Analysis, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Feature Engineering, Model Optimization, Predictive Modeling, Data Analysis, R Programming, Supervised Learning, Correlation Analysis, Probability & Statistics, Verification And Validation
您将获得的技能: Data Visualization, Regression Analysis, Predictive Modeling, Financial Forecasting, Statistical Modeling, Forecasting, Financial Modeling, SPSS, Predictive Analytics, Risk Modeling, Data-Driven Decision-Making, Statistical Analysis, Analytics, Scatter Plots, SPSS (Software), Statistical Methods, Credit Risk, Statistics, Microsoft Excel, Model Evaluation
Johns Hopkins University
您将获得的技能: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Engineering Analysis, Mathematical Theory & Analysis, Geometry, Applied Machine Learning, Markov Model
您将获得的技能: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation
您将获得的技能: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Data Analysis, Applied Machine Learning, Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis
Johns Hopkins University
您将获得的技能: 数据分析, 统计推理, 统计建模, 统计资料, 线性代数, 数据科学, 数据建模, 抽样（统计）, 统计假设检验, 数学建模, R 程序设计, 统计分析, 回归分析, 概率, 统计方法, 概率分布, 概率与统计, 分析, 贝叶斯统计, 生物统计学
总之，以下是 10 最受欢迎的 linear regression 课程
- 监督式机器学习：回归与分类: DeepLearning.AI
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
- 公共卫生中的简单回归分析: Johns Hopkins University
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Bayesian Regression and Model Selection: University of Pittsburgh
- 统计基础: Meta
- Linear Regression with R: Build & Optimize: EDUCBA
- Linear Regression & Predictive Modeling with SPSS: EDUCBA
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Linear Regression & Supervised Learning in Python: EDUCBA
