Regression 模型课程
Regression Model 课程可以帮助您学习统计分析、假设检验和数据可视化技术。您可以掌握解释系数、评估模型拟合度和执行变量选择的技能。许多课程都会介绍 R、Python 和 Excel 等工具，这些工具支持实施回归技术和分析数据集。
热门 Regression 模型课程与认证
您将获得的技能: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Import/Export, Classification And Regression Tree (CART), Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning, Machine Learning Algorithms
状态：免费试用Stanford University
您将获得的技能: 图论, 机器学习算法, 抽样（统计）, 统计推理, Algorithm, 概率与统计, 统计方法, 贝叶斯网络, 马尔可夫模型, 应用机器学习, 计算思维
状态：新状态：免费试用Case Western Reserve University
您将获得的技能: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations
状态：免费试用Johns Hopkins University
您将获得的技能: 预测建模, 应用数学, 数学建模, 回归分析, 数据科学, 统计, 统计分析, 统计建模, R 语言程序设计（中文版）, 高等数学, 线性代数
状态：免费试用您将获得的技能: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing
您将获得的技能: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning
您将获得的技能: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2
状态：新状态：免费试用您将获得的技能: 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
您将获得的技能: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis
您将获得的技能: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics, Statistical Analysis, Data Analysis
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
与 regression models 相关的搜索
总之，以下是 10 最受欢迎的 regression models 课程
- Breast Cancer Prediction Using Machine Learning: Coursera
- 概率图形模型 2：推理: Stanford University
- Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
- 数据科学高级线性模型 1：最小二乘法: Johns Hopkins University
- Regression Modeling Fundamentals: SAS
- Graduate Admission Prediction with Pyspark ML: Coursera
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- Building Statistical Models in R: Linear Regression: Coursera
- Python: Logistic Regression & Supervised ML: EDUCBA
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
