Linear Regression 课程可以帮助您学习如何分析变量之间的关系、解释系数和评估模型性能。您可以培养数据可视化、假设检验和根据数据趋势进行预测的技能。许多课程介绍了 Python、R 和 Excel 等工具,这些工具支持实施回归模型和有效分析数据集。

Illinois Tech
您将获得的技能: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Machine Learning, R Programming, Data Science, Statistical Modeling, Data Validation, Data Manipulation, Exploratory Data Analysis, R (Software), Data Mining, Statistical Programming, Predictive Modeling
攻读学位
中级 · 专项课程 · 3-6 个月

LearnQuest
您将获得的技能: 统计方法, 数据科学, 统计假设检验, Python 程序设计, 数据分析, 分类与回归树 (CART), Scikit-learn (机器学习库), 数据结构, 编程原则, 监督学习, 回归分析, 机器学习, 数据操作, 预测建模, 功能工程, Pandas(Python 软件包), NumPy, 探索性数据分析
初级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms
初级 · 课程 · 1-3 个月
University of Illinois Urbana-Champaign
您将获得的技能: 数据可视化软件, Matplotlib, SQL, Python 程序设计, 数据库, 会计, 描述性统计, 关系数据库, 数据结构, 编程原则, 数据建模, 数据操作, 统计机器学习, Jupyter, 商业分析, 数据可视化, Pandas(Python 软件包), NumPy, Seaborn, 数据处理
攻读学位
中级 · 课程 · 1-3 个月

The University of Chicago
您将获得的技能: 统计方法, Scikit-learn (机器学习库), 张力流, 深度学习, 监督学习, 分类与回归树 (CART), 机器学习, 随机森林算法, 决策树学习, 回归分析, 应用机器学习, 无监督学习, 机器学习算法, 人工神经网络, 功能工程, Pandas(Python 软件包), 降维
中级 · 课程 · 1-3 个月
University of Illinois Urbana-Champaign
您将获得的技能: 统计建模, 数据驱动的决策制定, 商业分析, 统计假设检验, 统计推理, 概率与统计, 统计分析, 预测分析, 回归分析, 分析, 微软Excel
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Data Visualization, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Collection, Data Manipulation, Application Programming Interface (API)
攻读学位
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Linear Algebra, NumPy, Scientific Visualization, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Jupyter, Data Manipulation, Regression Analysis, Data Structures, Software Installation
初级 · 课程 · 1-3 个月

您将获得的技能: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning
中级 · 课程 · 1-3 个月

您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
中级 · 课程 · 1-3 个月

您将获得的技能: Cryptography, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling, Machine Learning Methods, Back-End Web Development, Applied Machine Learning
初级 · 专项课程 · 3-6 个月

您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
中级 · 专项课程 · 3-6 个月