Python 课程可以帮助您学习编程基础、数据分析、网络开发和自动化技术。您可以掌握编写 Cleaning 代码、调试以及使用 Pandas 和 NumPy 等库进行数据处理的技能。许多课程还介绍了用于网络应用的 Flask 和 Django 等框架,以及用于交互式编码和可视化的 Jupyter Notebook 等工具。这些技能和工具对于解决数据科学、软件开发和人工智能方面的项目至关重要。

您将获得的技能: Endpoint Detection and Response, Cloud Security, Network Administration, Infrastructure Security, Encryption, Cloud Computing, Authorization (Computing), Network Architecture, Dynamic Host Configuration Protocol (DHCP), Identity and Access Management, Email Security, Application Security, Human Factors (Security), Network Infrastructure, Network Protocols, Local Area Networks, Data Security, Authentications, Malware Protection, Mobile Security
中级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 迁移学习, 大型语言模型, 生成式人工智能, LLM 申请, 性能调整
中级 · 项目 · 不超过 2 小时

您将获得的技能: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
混合 · 课程 · 1-4 周

您将获得的技能: Data Visualization, Data-Driven Decision-Making, Data Ethics, R (Software), Data Science, Data Governance, Advanced Analytics
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Python 程序设计, 应用编程接口 (API), 命令行界面, 云 API, Google 云端平台, 测试工具, 文件管理
初级 · 项目 · 不超过 2 小时

您将获得的技能: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
中级 · 专项课程 · 3-6 个月

EDUCBA
您将获得的技能: UI Components, User Interface (UI), User Interface (UI) Design, Event-Driven Programming, Application Design, Development Environment, Application Development, Application Frameworks
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
初级 · 课程 · 1-4 周

您将获得的技能: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
高级设置 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
中级 · 课程 · 1-3 个月

您将获得的技能: ChatGPT, OpenAI API, Model Deployment, LLM Application, Tool Calling, Large Language Modeling, Prompt Engineering, Application Programming Interface (API), No-Code Development, Python Programming, Software Installation, Open Source Technology, Development Environment, Data Science
初级 · 课程 · 1-4 周

Scrimba
您将获得的技能: Vector Databases, Retrieval-Augmented Generation, LangChain, Embeddings, LLM Application, Tool Calling, Prompt Engineering, AI Workflows, Artificial Intelligence, Generative AI
中级 · 课程 · 1-4 周