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在整个课程（说明和评估）中使用的语言。
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“statistical classification” 的结果
状态：免费试用Johns Hopkins University
您将获得的技能: 公共卫生, 统计方法, 预测建模, 统计建模, 回归分析, 高级分析, 生物统计学, 统计分析, 概率与统计, 数据分析
状态：免费试用University of Colorado Boulder
您将获得的技能: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution
您将获得的技能: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
状态：免费试用University of California, Santa Cruz
您将获得的技能: 机器学习算法, 统计方法, 数学建模, R 语言程序设计（中文版）, 无监督学习, 统计建模, 马尔可夫模型, 概率与统计, 统计软件, 贝叶斯统计
状态：免费试用American Psychological Association
您将获得的技能: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Graphing, Variance Analysis, Statistical Visualization, Data Literacy, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills
Coursera Project Network
您将获得的技能: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
状态：免费试用University of Michigan
您将获得的技能: 统计方法, 预测建模, 相关性分析, 统计推理, 回归分析, 统计建模, 数据可视化软件, Python 程序设计, Jupyter, 统计编程, 统计软件, 探索性数据分析, 概率分布, 贝叶斯统计
状态：免费试用University of Colorado Boulder
您将获得的技能: Data Science, Statistical Programming, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference, Predictive Modeling, Statistics
Coursera Project Network
您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing
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University of Michigan
您将获得的技能: Statistical Modeling, Regression Analysis, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, R Programming, Predictive Modeling
状态：免费试用University of Michigan
您将获得的技能: 统计方法, 统计推理, NumPy, Python 程序设计, 统计假设检验, 贝叶斯统计, Matplotlib, Jupyter, 统计分析, 概率与统计, 抽样（统计）
总之，以下是 10 最受欢迎的 statistical classification 课程
- 公共卫生中的多元回归分析: Johns Hopkins University
- Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
- Regression Analysis for Statistics & Machine Learning in R: Packt
- 贝叶斯统计：混合模型: University of California, Santa Cruz
- Measures of Variability: American Psychological Association
- Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
- 用 Python 对数据拟合统计模型: University of Michigan
- Resampling, Selection and Splines: University of Colorado Boulder
- Classification Trees in Python, From Start To Finish: Coursera Project Network
- Logistic Regression and Prediction for Health Data: University of Michigan
