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Johns Hopkins University
您将获得的技能: 概率与统计, 统计分析, 回归分析, 模型评估, 逻辑回归, 统计建模, 统计推理, 数据分析
状态：免费试用Imperial College London
您将获得的技能: 描述性统计, 概率与统计, 统计分析, 回归分析, 探索性数据分析, 预测建模, 逻辑回归, R 语言程序设计（中文版）, 模型评估, 统计建模, 统计, 公共卫生, 数据预处理
状态：免费试用University of Michigan
您将获得的技能: Logistic Regression, Model Evaluation, Statistical Inference, Predictive Analytics, R Programming, Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis
状态：免费试用多位教师
您将获得的技能: 模型评估, 迁移学习, 机器学习, 预测建模, NumPy, Scikit-learn （机器学习库）, 监督学习, 强化学习, 分类算法, 人工智能, Jupyter, 决策树学习, 无监督学习, 张力流, 随机森林算法, 数据伦理, 深度学习, 数据预处理, 应用机器学习, 功能工程
状态：免费试用您将获得的技能: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Model Evaluation, Statistical Modeling, Predictive Modeling, Statistical Analysis, Advanced Analytics, Data Analysis, Correlation Analysis, Predictive Analytics, Machine Learning, Variance Analysis, Python Programming
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
是什么让您今天来到 Coursera？
状态：新状态：预览您将获得的技能: 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, Estimation, Probability
状态：免费试用您将获得的技能: 回归分析, 模型评估, Scikit-learn （机器学习库）, 预测建模, 降维, 机器学习, 逻辑回归, 监督学习, Python 程序设计, 分类算法, 无监督学习, 功能工程, 决策树学习, 应用机器学习
状态：新状态：免费试用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, Statistics, Data Analysis, Probability & Statistics, Statistical Inference
您将获得的技能: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning
状态：免费试用Johns Hopkins University
您将获得的技能: 概率与统计, 统计分析, 回归分析, 预测建模, 模型评估, 逻辑回归, 统计方法, 统计建模, 统计推理, 公共卫生, 高级分析, 生物统计学
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
与 logistic regression 相关的搜索
总之，以下是 10 最受欢迎的 logistic regression 课程
- 回归模型: Johns Hopkins University
- 公共卫生 R 中的逻辑回归: Imperial College London
- Logistic Regression and Prediction for Health Data: University of Michigan
- 机器学习: DeepLearning.AI
- Regression Analysis: Simplify Complex Data Relationships: Google
- Logistic Regression with NumPy and Python: Coursera
- Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
- 使用 Python 进行机器学习: IBM
- Data Modeling and Prediction with R: Duke University
- Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
