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: 数据管道, 持续监测, 微软 Azure, 可扩展性, 机器学习, 负责任的人工智能, MLOps(机器学习 Operator), 数据安全, 信息隐私, 性能调整, 云计算, 数据库, 数据伦理
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: 数据操作, IBM Cognos 分析, 统计分析, 探索性数据分析, 箱形图, Pandas(Python 软件包), 散点图, 数据转换, 仪表板, 数据整理, Looker (软件), 网页抓取, 数据可视化, 数据收集, 数据分析, 柱状图
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, 时间序列分析和预测, 机器学习算法, 定量研究, 财务预测, 监督学习, 预测, 金融交易, 人工神经网络, 人工智能和机器学习(AI/ML), 机器学习, 证券交易, 统计机器学习, 金融, 技术分析, 金融建模, Google 云端平台, 应用机器学习, 深度学习
中级 · 课程 · 1-4 周

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

多位教师
您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks
中级 · 专项课程 · 1-3 个月

Microsoft
您将获得的技能: 数据操作, 数据叙事, 数据可视化软件, 探索性数据分析, Scikit-learn (机器学习库), Pandas(Python 软件包), Plotly, 机器学习, 生成式人工智能, 数据清理, Python 程序设计, 交互式数据可视化, 数据转换, 数据可视化, Jupyter, Matplotlib, 数据分析, 数据伦理
初级 · 课程 · 1-3 个月

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