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: Prompt Engineering, Prompt Patterns, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Model Evaluation, Responsible AI, Vector Databases, Data Import/Export
初级 · 专业证书 · 3-6 个月

您将获得的技能: Pandas (Python Package), NumPy, Data Manipulation, Data Preprocessing, Package and Software Management, Data Analysis, Data Transformation, Data Integration, JSON, Object Oriented Programming (OOP), Data Wrangling, Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Mathematical Software, Computational Logic, Data Structures
初级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 卷积神经网络, PyTorch(机器学习库), 拥抱的脸, 深度学习, 调试, MLOps(机器学习运营), 数据预处理, 机器学习, 计算机视觉, Keras(神经网络库), 应用机器学习, 张力流, 迁移学习, 性能调整, 递归神经网络 (RNN), 图像分析, 自然语言处理, 嵌入, 人工神经网络, 监督学习
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中级 · 专项课程 · 3-6 个月

O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
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初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: Python 编程, 数据管理, Data Management, 探索性数据分析, 集装箱化, 拥抱的脸, 模型部署, 负责任的人工智能, 数据分析, MLOps(机器学习运营), GitHub, 云部署, 机器学习, AWS SageMaker, 大数据, 云计算, DevOps, Pandas(Python 软件包), NumPy, Microsoft Azure, 数据操作
高级设置 · 专项课程 · 3-6 个月

Rice University
您将获得的技能: Python 编程, 计算机编程, 调试, 集成开发环境, 开发环境, 编程原则
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
初级 · 专项课程 · 1-3 个月

Coursera
您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Python 编程, 模型评估, 分类算法, 无监督学习, 数据预处理, 机器学习, Scikit Learn(机器学习库), 人工智能, 预测建模, 回归分析, Jupyter, 逻辑回归, NumPy, 功能工程, 监督学习
初级 · 课程 · 1-4 周

IBM
您将获得的技能: Python 编程, 数据可视化软件, IBM Cognos 分析系统, 探索性数据分析, 数据整理, 数据故事, 仪表板, 专业网络, Plotly, 数据分析, 数据操作, 交互式数据可视化, 查询语言, 数据导入/导出, Excel 公式, 网络抓取, Microsoft Excel, 生成式人工智能, 数据展示, 数据可视化
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初级 · 专业证书 · 3-6 个月

Rice University
您将获得的技能: Python 编程, 计算机编程, 数据可视化软件, 开发环境, 文件输入/输出, 数据分析, 脚本语言, 数据清理, 计划发展, 数据存储, 脚本, 数据处理, 绘图(图形), 数据导入/导出, 数据整合, 编程原则, 数据可视化, 软件包和软件管理, 数据操作, 数据结构
初级 · 专项课程 · 3-6 个月

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
中级 · 专业证书 · 3-6 个月