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: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms
状态：免费试用您将获得的技能: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing
状态：免费试用您将获得的技能: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
状态：预览您将获得的技能: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing
状态：免费试用Macquarie University
您将获得的技能: Model Evaluation, 回归分析, 统计分析, 时间序列分析和预测, Microsoft Excel, 统计建模, 预测, 数据可视化软件, 数据展示, 数据操作, 模型评估, 趋势分析, 商业数学
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
状态：新状态：免费试用您将获得的技能: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
状态：预览Sungkyunkwan University
您将获得的技能: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms
您将获得的技能: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis
状态：免费试用Howard University
您将获得的技能: NumPy, 数据可视化, 数学建模, 软件安装, 数据科学, 线性代数, 数据操作, Python 编程, Git（版本控制系统）, 应用数学, Jupyter
您将获得的技能: AWS SageMaker, Model Evaluation, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis
状态：预览Maven Analytics
您将获得的技能: Model Evaluation, 统计分析, 数据分析, 回归分析, 时间序列分析和预测, 预测建模, 机器学习算法, 无监督学习, 商业智能, 客户分析, 数据预处理, 数据挖掘, 数据科学, 机器学习, 数据质量, 探索性数据分析, 分类算法, 模型评估, 柱状图, 监督学习, 应用机器学习
总之，以下是 10 最受欢迎的 linear regression 课程
- Logistic Regression with NumPy and Python: Coursera
- Predictive Modeling with Logistic Regression using SAS : SAS
- Python: Logistic Regression & Supervised ML: EDUCBA
- Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
- 用于业务预测的 Excel 回归模型: Macquarie University
- Regression Analysis for Statistics & Machine Learning in R: Packt
- Machine Learning with R: Build, Analyze & Predict: EDUCBA
- Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
- 线性代数和 Python 简介: Howard University
