Scikit-learn 课程可以帮助您学习数据预处理、模型选择、分类技术和 Regression 分析。您可以掌握评估模型性能、Feature Engineering 和实施机器学习管道的技能。许多课程都会介绍 Jupyter Notebook 和 Python 库等工具,这些工具支持在实际项目中应用这些技能。

University of Michigan
您将获得的技能: ChatGPT, Machine Learning Methods, Data Mining, Generative AI, Recurrent Neural Networks (RNNs), Data Preprocessing, Python Programming, Machine Learning Algorithms, Data Manipulation
高级设置 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
混合 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unstructured Data, Python Programming, Algorithms
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Google 云端平台, 云计算, 脚本, 开发环境, 深度学习, 张力流, 监督学习, 机器学习, 人工神经网络
初级 · 项目 · 不超过 2 小时

您将获得的技能: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy
中级 · 课程 · 1-3 个月

Pearson
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
混合 · 课程 · 1-4 周

Universidad Austral
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Software Development Life Cycle, Text Mining, Model Deployment, Machine Learning
初级 · 课程 · 1-4 周

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

Coursera
您将获得的技能: Python 程序设计, 模型评估, 数据导入/导出, 数据预处理, Machine Learning 方法, 张力流, Keras(神经网络库), 性能调整, 应用机器学习, 机器学习, ChatGPT, 人工神经网络, 图像分析
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing
中级 · 课程 · 1-4 周