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
University of Michigan
您将获得的技能: Logistic Regression, Model Evaluation, Statistical Inference, Predictive Analytics, R Programming, Predictive Modeling, Probability & Statistics, Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Epidemiology, Descriptive Statistics
Johns Hopkins University
您将获得的技能: 数据分析, Model Evaluation, 逻辑回归, 概率分布, 数据科学, 统计分析, 统计推理, 概率与统计, 预测建模, 统计方法, 回归分析, 统计假设检验, 模型评估, 统计建模
Imperial College London
您将获得的技能: 公共卫生, Model Evaluation, R 程序设计, 逻辑回归, 探索性数据分析, 统计分析, 生物统计学, 统计软件, 数据预处理, 概率与统计, 模型评估, 统计方法, 描述性统计, 回归分析, 统计建模, 预测建模, 预测分析, R（软件）
您将获得的技能: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming
您将获得的技能: Model Evaluation, Logistic Regression, SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Feature Engineering, Analytics, Statistical Methods, Data Transformation, Statistical Modeling, Statistical Analysis, Business Analytics, Statistical Programming, Estimation, Probability & Statistics, Probability
您将获得的技能: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Statistical Methods, Correlation Analysis, Predictive Modeling, Supervised Learning, Predictive Analytics, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Python Programming
是什么让您今天来到 Coursera？
多位教师
您将获得的技能: 模型培训, Model Evaluation, 负责任的人工智能, 决策树学习, 迁移学习, 分类算法, 数据伦理, Jupyter, 机器学习方法, NumPy, 应用机器学习, 深度学习, 人工智能, 机器学习, Transfer Learning, 模型评估, 张力流, 预测建模, 无监督学习, Scikit Learn（机器学习库）, 机器学习算法, 监督学习
您将获得的技能: Model Evaluation, 模型培训, 逻辑回归, 决策树学习, 应用机器学习, 模型优化, 分类算法, 机器学习方法, 统计机器学习, 降维, 机器学习, Python 编程, 回归分析, 预测分析, 模型评估, 预测建模, Scikit Learn（机器学习库）, 监督学习, 无监督学习, 机器学习算法
Duke University
您将获得的技能: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis
您将获得的技能: Machine Learning Methods, Predictive Modeling, Model Training, Statistical Machine Learning, Machine Learning Software, Model Optimization, Performance Analysis, Performance Metric, Performance Improvement
University of Pittsburgh
您将获得的技能: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistics, Bayesian Statistics, Statistical Software, Statistical Inference, Applied Mathematics, Python Programming, Machine Learning, Algorithms
Imperial College London
您将获得的技能: 数据分析, Model Evaluation, R 程序设计, 逻辑回归, 生物统计学, 数据扫盲, 描述性分析, 统计分析, 统计软件, 抽样（统计）, 探索性数据分析, 相关性分析, 回归分析, 描述性统计, 统计编程, 模型评估, 分析技能, 统计假设检验, 统计建模, 科学与研究, R（软件）
总之，以下是 10 最受欢迎的 logistic regression 课程
- Logistic Regression and Prediction for Health Data: University of Michigan
- 回归模型: Johns Hopkins University
- 公共卫生 R 中的逻辑回归: Imperial College London
- Logistic Regression with NumPy and Python: Coursera
- Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
- Regression Analysis: Simplify Complex Data Relationships: Google
- 机器学习: DeepLearning.AI
- 使用 Python 进行机器学习: IBM
- Data Modeling and Prediction with R: Duke University
- Optimize AI: Build & Evaluate Predictive Models: Coursera
