预测建模课程可以帮助您学习统计技术、数据预处理、Regression 分析和时间序列预测。您可以掌握评估模型性能、特征选择和解释结果的技能,从而做出明智的预测。许多课程都会介绍 R、Python 等工具以及 scikit-learn 和 TensorFlow 等专项库,这些工具支持在各行各业实施预测模型和有效应用 AI 技术。

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

您将获得的技能: Classification And Regression Tree (CART), Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data-Driven Decision-Making, Marketing Analytics, Feature Engineering, Customer Analysis, Statistical Modeling, Financial Forecasting, Supervised Learning, Data Cleansing, Data Manipulation, Machine Learning Methods, Performance Tuning
混合 · 课程 · 1-4 周

您将获得的技能: Forecasting, Trend Analysis, Spreadsheet Software, Predictive Analytics, Regression Analysis, Time Series Analysis and Forecasting, Data Visualization, Statistical Methods, Statistical Analysis, Plot (Graphics), Data-Driven Decision-Making, Data Analysis
中级 · 指导项目 · 不超过 2 小时
您将获得的技能: Energy and Utilities, Mathematical Modeling, Predictive Analytics, Google Gemini, Data-Driven Decision-Making, Forecasting, Analytics, Electrical Systems, Data Analysis, Capacity Management, 3D Modeling, Simulation and Simulation Software, Simulations, Sustainable Technologies, Time Series Analysis and Forecasting, Facility Management, Data Visualization, Artificial Intelligence, Search Engine Optimization
中级 · 课程 · 1-4 周

您将获得的技能: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing
混合 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: 回归分析, 统计分析, 探索性数据分析, 预测建模, 数据科学, 统计推理, 概率与统计, 统计假设检验, 机器学习, 描述性统计, Rmarkdown, 数据分析, 数据建模, 统计方法, 分类与回归树 (CART), Tidyverse(R 软件包), R 语言程序设计(中文版)
混合 · 课程 · 1-3 个月
Stanford University
您将获得的技能: 机器学习算法, 概率分布, 贝叶斯网络, 概率与统计, 网络分析, 机器学习, 马尔可夫模型, Algorithm, 统计建模, 统计方法, 应用机器学习
高级设置 · 课程 · 1-3 个月

University of Minnesota
您将获得的技能: 数据驱动的决策制定, 业务建模, 微软Excel, 工艺优化, 资源分配, 决策, 分析, 商业数学, 运筹学, 数学建模, 商业分析, 制图, 解决方案设计, 线性代数
初级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, System Monitoring, Google Cloud Platform, Data Ethics, Responsible AI, Machine Learning
中级 · 课程 · 1-4 周

Simplilearn
您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, ChatGPT, Prompt Engineering, Large Language Modeling, Real Time Data, Deep Learning, Scalability, Responsible AI, Natural Language Processing
初级 · 课程 · 1-4 周

University of Minnesota
您将获得的技能: Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting
初级 · 课程 · 1-3 个月

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
混合 · 课程 · 1-4 周