Scikit-learn 课程可以帮助您学习数据预处理、模型选择和 Evaluation 技术,以及监督和非监督学习方法。您可以掌握特征工程、超参数调整以及决策树和支持向量机等算法的实施技能。许多课程还介绍了 Jupyter Notebook 和 Python 库等工具,这些工具支持应用机器学习概念和 Visualization 数据,以获得可行的见解。

Microsoft
您将获得的技能: 机器学习, 云计算, 信息隐私, 持续监测, 数据管道, 可扩展性, 负责任的人工智能, 数据安全, 数据伦理, 微软 Azure, 数据库, 性能调整, MLOps(机器学习 Operator)
中级 · 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: Supervised Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Data Analysis, Dimensionality Reduction
中级 · 课程 · 1-4 周

IIT Roorkee
您将获得的技能: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Processing, Pandas (Python Package), Big Data, Data Cleansing, Data Science, Data Visualization, Python Programming, Data Manipulation, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks
初级 · 课程 · 1-3 个月

IBM
您将获得的技能: 统计分析, 探索性数据分析, 散点图, 网页抓取, 数据操作, IBM Cognos 分析, 仪表板, 数据转换, 箱形图, 数据整理, 柱状图, 数据可视化, Looker (软件), 数据收集, 数据分析, Pandas(Python 软件包)
高级设置 · 课程 · 1-3 个月

您将获得的技能: Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Jupyter, Image Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Data Visualization, Machine Learning Algorithms, Amazon Web Services, Python Programming, Cloud Applications, Data Transformation, Predictive Modeling, Data Processing, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: 回归分析, 财务预测, Google 云端平台, 金融交易, 机器学习, 监督学习, 时间序列分析和预测, 定量研究, 机器学习算法, 人工智能和机器学习(AI/ML), 深度学习, 金融, 证券交易, 应用机器学习, 技术分析, 金融建模, 预测, 统计机器学习, 人工神经网络
中级 · 课程 · 1-4 周

AI CERTs
您将获得的技能: Health Informatics, Nurse Education, Generative AI Agents, Clinical Informatics, Nursing Process, Clinical Data Management, Nursing, Healthcare Ethics, Nursing Care, Generative AI, Responsible AI, Nursing Practices, Health Care, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Healthcare Industry Knowledge, Basic Patient Care, Business Acumen, Physiology, Business
中级 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: 数据可视化软件, Matplotlib, 图论, 数据处理, NumPy, Python 程序设计, 交互式数据可视化, 文本挖掘, 数据操作, 应用机器学习, 科学可视化, 社交网络分析, 自然语言处理, 数据可视化, 监督学习, 统计可视化, 网络分析, 可视化(计算机制图), Pandas(Python 软件包), 功能工程
中级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: 探索性数据分析, 回归分析, 机器学习, 无监督学习, 人工智能和机器学习(AI/ML), 深度学习, MLOps(机器学习 Operator), 预测建模, Pandas(Python 软件包), PyTorch(机器学习库), 微软 Azure, 数据可视化, 数据分析, Scikit-learn (机器学习库), 张力流, 人工神经网络, 图像分析, 数据科学, Jupyter, 分类与回归树 (CART)
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Responsible AI, LLM Application, Data Import/Export
初级 · 专业证书 · 3-6 个月

您将获得的技能: Real Time Data, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Telecommunications, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Emerging Technologies, Network Performance Management, Generative AI, Generative AI Agents, Wireless Networks, Computer Networking, Network Architecture, Responsible AI, Digital Communications, Network Protocols, System Design and Implementation, Communication
中级 · 课程 · 1-4 周