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。

Coursera
您将获得的技能: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement
中级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Depreciation, Risk Analysis, Risk Modeling, Engineering Management, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Capital Expenditure, Tax Planning, Income Tax, Economics, Simulation and Simulation Software, Probability Distribution, Corporate Tax, Cash Flows
混合 · 课程 · 1-3 个月

您将获得的技能: Marketing Analytics, Data-Driven Marketing, Content Performance Analysis, Google Analytics, Web Analytics and SEO, Keyword Research, Web Analytics, Conversion Funnel Analysis, Marketing Effectiveness, Digital Analysis, Marketing Strategies, Search Engine Optimization, Content Optimization, Campaign Management, Data Validation, Cross-Channel Marketing, Trend Analysis, Predictive Analytics, Performance Analysis, Variance Analysis
初级 · 课程 · 1-3 个月

您将获得的技能: Dataflow, Data Pipelines, Site Reliability Engineering, Debugging, Data Integrity, Cloud Management, Performance Tuning, CI/CD, Unit Testing, Data Processing, Google Cloud Platform, Disaster Recovery
高级设置 · 课程 · 1-3 个月

您将获得的技能: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)
中级 · 课程 · 1-4 周
您将获得的技能: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
中级 · 课程 · 1-4 周

您将获得的技能: AI Orchestration, AI Workflows, Software Testing, AI Integrations, Jenkins, Azure DevOps Pipelines, Test Engineering, Azure DevOps, Continuous Deployment
高级设置 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
中级 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming
初级 · 课程 · 1-3 个月
您将获得的技能: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development
高级设置 · 课程 · 1-4 周

Universidad de los Andes
您将获得的技能: Supervised Learning, Unsupervised Learning, Model Evaluation, Classification Algorithms, Artificial Intelligence, Data Ethics, Machine Learning, Regression Analysis, Dimensionality Reduction, Probability & Statistics, Image Analysis, Responsible AI, Computer Vision, Machine Learning Methods, Embedded Systems, Natural Language Processing, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Scientific Visualization
提供的学分
MasterTrack · 6-12 个月

Universidad de los Andes
您将获得的技能: Design Thinking, Reinforcement Learning, Conflict Management, Organizational Strategy, Classification Algorithms, Deep Learning, Engineering Management, Technology Strategies, Project Management, Feasibility Studies, Systems Thinking, Infrastructure Security, Financial Statements, Environmental Social And Corporate Governance (ESG), Logistic Regression, Agile Software Development, Data Ethics, Environmental Management Systems, Product Development, Asset Management
获得学位
学位 · 1-4 年