Python 机器学习课程可以帮助您学习数据操作、算法实现、模型评估和 Feature Selection。您可以掌握数据 Visualization、超参数调整和理解 Neural Network 的技能。许多课程都会介绍 TensorFlow、Scikit-learn 和 Pandas 等工具,这些工具支持将您的技能应用到实际项目中,使您能够创建预测模型并有效分析复杂的数据集。

您将获得的技能: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning
初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
初级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
混合 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Data Preprocessing, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Machine Learning, Apache
中级 · 专项课程 · 3-6 个月

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
中级 · 专项课程 · 3-6 个月

您将获得的技能: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging
高级设置 · 课程 · 1-3 个月

Stanford University
您将获得的技能: 负责任的人工智能, 模型评估, 卷积神经网络, 深度学习, 强化学习, 医疗保健行业知识, 机器学习算法, 人工智能和机器学习(AI/ML), 医疗保健伦理, 机器学习, 数据预处理, 数据伦理, 应用机器学习, 卫生政策, 人工神经网络
初级 · 课程 · 1-3 个月

University of Alberta
您将获得的技能: Algorithm, 人工智能和机器学习(AI/ML), 强化学习, 模拟, 机器学习, 抽样(统计), 机器学习算法, 概率分布
中级 · 课程 · 1-3 个月
Google Cloud
您将获得的技能: Data Governance, 负责任的人工智能, 数据战略, 创新, 模型评估, Google 云端平台, 可行性研究, 机器学习, 模型部署, AI 赋能, 数据伦理, 应用机器学习, 图像分析, 商业分析
初级 · 课程 · 1-3 个月