2 个仓库
Awesome GitHub RepositoriesMachine Learning Guides
Tutorials and guides specifically for applying a programming language to machine learning tasks.
Distinct from Python Programming Guides: Distinct from general programming guides by focusing on the application of Python to AI and data science specifically.
Explore 2 awesome GitHub repositories matching education & learning resources · Machine Learning Guides. Refine with filters or upvote what's useful.
Awesome Machine Learning Guides GitHub Repositories
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- llsourcell/learn_machine_learning_in_3_months
llSourcell/Learn_Machine_Learning_in_3_Months
7,616在 GitHub 上查看This project is a machine learning curriculum and educational course repository designed as a structured three-month study plan. It provides a guided path for mastering data science and artificial intelligence using the Python programming language. The repository organizes learning materials and code examples to cover mathematics, algorithms, and deep learning fundamentals. It uses a modular curriculum structure to break the domain into discrete monthly and weekly segments. The project functions as a curated resource map that aligns source code and notes with external instructional videos an
Provides a guided path for mastering data science and AI using the Python programming language.
- machinelearningmindset/machine-learning-course
machinelearningmindset/machine-learning-course
7,043在 GitHub 上查看这是一个全面的教育课程，旨在学习使用 Python 编程语言进行数据科学和预测建模。它提供了结构化的教学材料和指南，涵盖监督学习、无监督学习和神经网络设计。 该课程专注于构建、训练和评估机器学习模型。它包括用于实现线性回归、决策树和支持向量机进行预测分析的具体指南，以及关于设计卷积和循环神经网络架构的教程。 该课程涵盖了广泛的数据科学功能，包括通过交叉验证进行模型性能评估、使用聚类和主成分分析发现隐藏模式，以及使用分层计算图开发深度学习模型。 学习内容通过基于 notebook 的交互式格式提供，结合了可执行代码和描述性文本。
Provides guides for applying Python to implement linear regression, decision trees, and support vector machines.
Python
