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。

您将获得的技能: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
混合 · 课程 · 1-4 周

您将获得的技能: Data-Driven Decision-Making, Minitab, Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Predictive Analytics, Statistical Methods, Descriptive Statistics, Analytics, Business Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Statistical Modeling, Quantitative Research, Case Studies
初级 · 专项课程 · 1-3 个月

您将获得的技能: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing
混合 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Predictive Analytics, Feature Engineering, Regression Analysis, Data Analysis, Data Preprocessing, Data Manipulation, Data Cleansing, Data Wrangling, Forecasting, Data Validation, Workflow Management, Statistical Modeling, Data Transformation, Exploratory Data Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
混合 · 课程 · 1-4 周

IBM
您将获得的技能: 逻辑回归, Model Evaluation, 回归分析, PyTorch(机器学习库), 模型评估, 概率与统计, 人工神经网络, 张力流, 数据预处理, 统计方法
中级 · 课程 · 1-3 个月

您将获得的技能: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing
中级 · 课程 · 1-3 个月

您将获得的技能: Descriptive Analytics, SPSS, Logistic Regression, SPSS (Software), Regression Analysis, Correlation Analysis, Data Analysis, Statistical Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Analysis, Predictive Modeling, Statistical Visualization, Scatter Plots, Probability & Statistics, Data Preprocessing, Data Visualization Software
初级 · 课程 · 1-4 周

Duke University
您将获得的技能: Model Evaluation, 统计建模, R 程序设计, 概率与统计, 模型评估, 统计资料, 数据分析软件, 回归分析, 探索性数据分析, 统计推理, 数学建模, 相关性分析, 统计分析, R(软件), 预测建模
初级 · 课程 · 1-4 周

您将获得的技能: SPSS, Correlation Analysis, SPSS (Software), Logistic Regression, Regression Analysis, Predictive Modeling, Predictive Analytics, Descriptive Statistics, Statistical Methods, Statistical Modeling, Case Studies, Statistical Analysis, Data Import/Export, Data Manipulation, Analysis, Model Evaluation
混合 · 课程 · 1-3 个月

IBM
您将获得的技能: 逻辑回归, Model Evaluation, 监督学习, 抽样(统计), 模型评估, 随机森林算法, 数据清理, 机器学习, Scikit Learn(机器学习库), 决策树学习, 数据预处理, 分类算法, 功能工程, 性能指标, 预测建模
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Data Preprocessing, Predictive Analytics, Data Manipulation, Data Visualization
中级 · 课程 · 1-4 周