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: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis
中级 · 课程 · 1-4 周

Infosec
您将获得的技能: Python 程序设计, 网络威胁情报, 脚本, 网络 Operator, 网络安全, IT 自动化, MITRE ATT&CK 框架
中级 · 课程 · 1-4 周
Johns Hopkins University
您将获得的技能: 数据操作, 数据可视化软件, 统计分析, 绘图(图形), 机器学习, R 语言程序设计(中文版), 降维, 数据整合, 数据清理, Ggplot2, 统计编程, Knitr, GitHub, 数据共享, R(软件), 版本控制, 探索性数据分析, Rmarkdown, 数据科学, 统计可视化
初级 · 专项课程 · 3-6 个月

您将获得的技能: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
混合 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Data Visualization, Logistic Regression, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Machine Learning, Human Resources, Employee Retention, Machine Learning Algorithms
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration
高级设置 · 课程 · 3-6 个月

您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
中级 · 课程 · 1-4 周
您将获得的技能: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development
高级设置 · 课程 · 1-4 周

您将获得的技能: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Exploratory Data Analysis, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management
高级设置 · 课程 · 1-4 周
University of Michigan
您将获得的技能: Python 程序设计, 机器学习, 决策树学习, Scikit-learn (机器学习库), 分类算法, 预测分析, 模型评估, 逻辑回归, 数据分析, 预测建模, 机器学习算法, 数据预处理, 应用机器学习, 监督学习, 分类与回归树 (CART), 分析, 功能工程
中级 · 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

University of Michigan
您将获得的技能: Python 程序设计, 数据操作, JSON, 数据结构, 统一模型语言, 文件输入/输出, 软件设计, 单元测试, 网页抓取, 还原式 API, 面向对象编程(OOP), 编程原则, 调试, 计划发展, Jupyter, 面向对象设计, 数据导入/导出, 计算机编程, 数据处理, 图像分析
初级 · 专项课程 · 3-6 个月