Logistic Regression 课程
Logistic Regression 课程可以帮助您学习统计建模、假设检验和系数解释。您可以掌握评估模型性能、理解几率比以及应用 Regularization 等技术提高准确性的技能。许多课程都会介绍 R、Python 等工具和 Scikit-learn 等专项库，展示这些技能如何用于分析医疗保健、金融和营销等各个领域的 Binary 结果。
热门 Logistic Regression 课程和认证
状态：免费试用Imperial College London
您将获得的技能: 描述性统计, 数据整理, 预测建模, 统计, 探索性数据分析, 统计分析, 统计推理, 回归分析, 概率与统计, 公共卫生, R（软件）, 数据清理, R 语言程序设计（中文版）, 功能工程
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：新状态：免费试用Duke University
您将获得的技能: Data-Driven Decision-Making, Statistical Modeling, Predictive Modeling, Regression Analysis, R Programming, Data Analysis, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: 统计分析, 预测建模, 回归分析, 统计推理, 概率与统计, 数据分析, 统计方法, 统计建模, 相关性分析
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：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
是什么让您今天来到 Coursera？
状态：免费试用多位教师
您将获得的技能: 机器学习, Python 程序设计, 深度学习, 预测建模, 负责任的人工智能, 人工智能和机器学习（AI/ML）, 数据伦理, NumPy, 应用机器学习, 强化学习, 随机森林算法, 人工智能, 决策树学习, Jupyter, 监督学习, 分类与回归树 (CART), 功能工程, 无监督学习, 张力流, Scikit-learn （机器学习库）
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Johns Hopkins University
您将获得的技能: 回归分析, 预测建模, 统计分析, 高级分析, 概率与统计, 数据分析, 公共卫生, 统计方法, 生物统计学, 统计建模
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, Python 程序设计, 预测建模, 回归分析, 数据转换, 应用机器学习, NumPy, 人工智能, 分类与回归树 (CART), 统计建模, Scikit-learn （机器学习库）, Jupyter, 功能工程, 监督学习
您将获得的技能: Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Customer Analysis, Data Presentation, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data Cleansing, Data Manipulation, Advertising, Classification And Regression Tree (CART), Digital Advertising, Machine Learning Methods, Performance Analysis, Machine Learning, Python Programming, Deep Learning
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
与 logistic regression 相关的搜索
总之，以下是 10 最受欢迎的 logistic regression 课程
- 公共卫生 R 中的逻辑回归: Imperial College London
- Logistic Regression with NumPy and Python: Coursera
- Data Modeling and Prediction with R: Duke University
- 回归模型: Johns Hopkins University
- Logistic Regression and Prediction for Health Data: University of Michigan
- Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
- 机器学习: DeepLearning.AI
- Regression Analysis: Simplify Complex Data Relationships: Google
- 公共卫生中的多元回归分析: Johns Hopkins University
- 监督式机器学习：回归与分类: DeepLearning.AI
