DeepLearning.AI
专项课程
DeepLearning.AI
课程
LearnQuest
专项课程
Microsoft
课程
多位教师
专项课程
DeepLearning.AI
课程
IBM
课程
IBM
课程
课程
O.P. Jindal Global University
攻读学位
课程
EDUCBA
课程
EDUCBA
课程
在整个课程(说明和评估)中使用的语言。
Microsoft
您将获得的技能: 数据清理, 数据叙事, 机器学习, Matplotlib, 数据操作, 数据可视化软件, 探索性数据分析, 数据分析, 数据伦理, 数据转换, Pandas(Python 软件包), Python 程序设计, 交互式数据可视化, Jupyter, 生成式人工智能, 数据可视化, Plotly, Scikit-learn (机器学习库)
初级 · 课程 · 1-3 个月
DeepLearning.AI
您将获得的技能: 机器学习, 人工智能, 预测建模, 分类与回归树 (CART), 监督学习, 数据转换, 回归分析, 统计建模, NumPy, 应用机器学习, Python 程序设计, Jupyter, 功能工程, Scikit-learn (机器学习库)
初级 · 课程 · 1-4 周
您将获得的技能: Feature Engineering, AI Personalization, Data Processing, Applied Machine Learning, Data Manipulation, Data Science, Machine Learning, Data Cleansing, Scalability, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Predictive Modeling, Text Mining, Development Environment, Unstructured Data, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Integration
中级 · 专项课程 · 1-3 个月
您将获得的技能: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming
高级设置 · 课程 · 1-3 个月
您将获得的技能: Artificial Intelligence, Scikit Learn (Machine Learning Library)
初级 · 课程 · 1-4 周
O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment
初级 · 课程 · 1-3 个月
Microsoft
您将获得的技能: 机器学习, MLOps(机器学习 Operator), 探索性数据分析, 数据转换, 数据库, 大数据, Apache Spark, 应用机器学习, 数据处理, 微软 Azure, PySpark, 深度学习, Scikit-learn (机器学习库)
中级 · 课程 · 1-3 个月
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, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, Data Manipulation, Verification And Validation, Pandas (Python Package), Histogram
混合 · 课程 · 1-4 周
您将获得的技能: Feature Engineering, Exploratory Data Analysis, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Data Manipulation, Statistical Modeling, Statistical Methods, Pandas (Python Package), Data Visualization Software
混合 · 课程 · 1-4 周
Coursera Project Network
您将获得的技能: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
初级 · 指导项目 · 不超过 2 小时
University of Michigan
您将获得的技能: 机器学习, Machine Learning 方法, 数据分析, 预测建模, 监督学习, 分类与回归树 (CART), 随机森林算法, Python 程序设计, 机器学习算法, 分析, 应用机器学习, 功能工程, 统计机器学习, 预测分析, Scikit-learn (机器学习库)
中级 · 课程 · 1-4 周
Johns Hopkins University
您将获得的技能: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis
中级 · 课程 · 1-3 个月