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。

DeepLearning.AI
您将获得的技能: 回归分析, 统计分析, 预测建模, 概率与统计, 预测, 机器学习, 应用机器学习, 数据清理, 数据分析, 统计建模, 深度学习, 功能工程, 随机森林算法, 决策树学习, 风险模型
中级 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning
混合 · 课程 · 1-4 周

Imperial College London
您将获得的技能: 回归分析, 统计分析, 探索性数据分析, 概率与统计, 数据导入/导出, 描述性统计, 统计建模, 数据分析, R 语言程序设计(中文版), 统计方法, 相关性分析, 生物统计学, R(软件)
中级 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Analysis, Probability & Statistics, Linear Algebra, Data Manipulation
攻读学位
中级 · 课程 · 1-4 周

您将获得的技能: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
混合 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Data Manipulation, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Predictive Analytics, Machine Learning Algorithms, Data Science, Python Programming
初级 · 指导项目 · 不超过 2 小时

Wesleyan University
您将获得的技能: 回归分析, 统计分析, 预测建模, 统计编程, 绘图(图形), 统计假设检验, 散点图, Python 程序设计, 数据分析, SAS(软件), 统计建模, 相关性分析
混合 · 课程 · 1-4 周

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
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 监督学习, 张力流, 机器学习, 决策树学习, 负责任的人工智能, 深度学习, 性能调整, 随机森林算法, 人工神经网络, 分类与回归树 (CART), 数据伦理
初级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Feature Engineering, Unsupervised Learning, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Scikit Learn (Machine Learning Library), Data Analysis, Regression Analysis, Machine Learning, Python Programming
初级 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
初级 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram
混合 · 课程 · 1-4 周