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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
状态：新状态：预览您将获得的技能: SAS (Software), Predictive Modeling, Regression Analysis, Analytics, Statistical Methods, Data Transformation, Statistical Analysis, Business Analytics, Logistics, Estimation, Probability
状态：免费试用Imperial College London
您将获得的技能: 数据整理, 数据清理, 预测建模, 探索性数据分析, 回归分析, 统计推理, R 语言程序设计（中文版）, 统计, R（软件）, 描述性统计, 统计分析, 功能工程, 概率与统计, 公共卫生
状态：新您将获得的技能: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation
状态：新状态：预览您将获得的技能: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis
Coursera Project Network
您将获得的技能: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms
状态：免费试用多位教师
您将获得的技能: 数据伦理, 机器学习, 分类与回归树 (CART), 人工智能, 预测建模, 人工智能和机器学习（AI/ML）, 无监督学习, NumPy, Python 程序设计, 强化学习, 随机森林算法, 应用机器学习, 决策树学习, 负责任的人工智能, Jupyter, 功能工程, 监督学习, 深度学习, 张力流, Scikit-learn （机器学习库）
是什么让您今天来到 Coursera？
状态：免费试用University of Michigan
您将获得的技能: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Classification And Regression Tree (CART), Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis, Risk Analysis, Descriptive Statistics
状态：免费试用您将获得的技能: SAS (Software), Predictive Modeling, Statistical Modeling, Big Data, Regression Analysis, Data Analysis Software, Advanced Analytics, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Manipulation, Data Cleansing
状态：免费试用Johns Hopkins University
您将获得的技能: 统计方法, 数据分析, 相关性分析, 回归分析, 预测建模, 统计推理, 统计建模, 统计分析, 概率与统计
状态：免费试用您将获得的技能: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming
状态：免费试用您将获得的技能: 机器学习, 预测建模, 分类与回归树 (CART), 监督学习, 回归分析, 无监督学习, 统计建模, 降维, 决策树学习, 应用机器学习, 功能工程, Scikit-learn （机器学习库）
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 人工智能, 预测建模, 分类与回归树 (CART), 监督学习, 数据转换, 回归分析, 统计建模, NumPy, 应用机器学习, Python 程序设计, Jupyter, 功能工程, Scikit-learn （机器学习库）
总之，以下是 10 最受欢迎的 logistic regression 课程
- Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
- 公共卫生 R 中的逻辑回归: Imperial College London
- Python: Logistic Regression & Supervised ML: EDUCBA
- Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
- Logistic Regression with NumPy and Python: Coursera Project Network
- 机器学习: DeepLearning.AI
- Logistic Regression and Prediction for Health Data: University of Michigan
- Predictive Modeling with Logistic Regression using SAS : SAS
- 回归模型: Johns Hopkins University
- Regression Analysis: Simplify Complex Data Relationships: Google
