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在整个课程（说明和评估）中使用的语言。
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探索 Logistic Regression 课程目录
Coursera Project Network
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, Machine Learning, Data Analysis, Random Forest Algorithm
状态：免费试用Macquarie University
您将获得的技能: 统计建模, 回归分析, 统计分析, 微软Excel, 商业数学, 趋势分析, 时间序列分析和预测, 数据可视化软件, 预测
状态：免费试用Howard University
您将获得的技能: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 数据驱动的决策制定, 统计分析, 回归分析, 商业分析, 统计方法, 描述性分析, 统计假设检验, 微软Excel, 统计推理, 预测分析, 概率与统计
状态：免费试用University of Colorado Boulder
您将获得的技能: Regression Analysis, Supervised Learning, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Exploratory Data Analysis, Verification And Validation
Coursera Project Network
您将获得的技能: Data Visualization, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Predictive Analytics, Machine Learning, Human Resources, Decision Tree Learning, Employee Retention
状态：免费试用Imperial College London
您将获得的技能: 统计建模, 回归分析, 统计分析, 数据导入/导出, R 语言程序设计（中文版）, 探索性数据分析, R（软件）, 描述性统计, 生物统计学, 统计方法, 相关性分析, 数据分析, 概率与统计
状态：免费试用Johns Hopkins University
您将获得的技能: 统计建模, 回归分析, 线性代数, 统计分析, R 语言程序设计（中文版）, 应用数学, 积分微积分, 数学建模, 概率分布, 概率与统计
状态：免费试用DeepLearning.AI
您将获得的技能: 统计建模, 统计分析, 回归分析, 预测建模, 决策树学习, 随机森林算法, 概率与统计, 功能工程, 应用机器学习, 机器学习, 数据分析, 预测, 风险模型, 数据清理, 深度学习
您将获得的技能: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling
状态：新状态：免费试用您将获得的技能: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis
总之，以下是 10 最受欢迎的 logistic regression 课程
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network
- 用于业务预测的 Excel 回归模型: Macquarie University
- Building Regression Models with Linear Algebra: Howard University
- Exploratory Data Analysis & Core ML Algorithms: Packt
- 商业推断和预测统计: University of Illinois Urbana-Champaign
- Regression Analysis: University of Colorado Boulder
- Employee Attrition Prediction Using Machine Learning: Coursera Project Network
- 公共卫生领域的 R 线性回归: Imperial College London
- 数据科学高级线性模型 2：统计线性模型: Johns Hopkins University
- 用于医学预后的人工智能: DeepLearning.AI
