Machine Learning Fundamentals: From Theory to Practice
Core machine learning algorithms, data preprocessing, model evaluation, scikit-learn, neural network basics, and practical projects with real-world datasets
| 负责人 | OdooBot |
|---|---|
| 最后更新 | 2026/04/08 |
| 成员 | 1 |
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Introduction to Machine Learning5课程 。
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What is Machine Learning?
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What is Machine Learning? - Quiz10 经验值
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Supervised vs Unsupervised Learning
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Key Terminology in Machine Learning
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Real-World Applications of Machine Learning
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Data Preprocessing Techniques4课程 。
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Data Cleaning Basics
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Handling Missing Values
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Outlier Detection and Treatment
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Data Normalization and Standardization
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Core Machine Learning Algorithms4课程 。
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Linear Regression
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Decision Trees
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Ensemble Methods - Random Forest
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Model Evaluation Techniques
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Introduction to Neural Networks4课程 。
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Neural Network Architecture
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Building a Simple Neural Network
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Training and Evaluating Neural Networks
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Applications of Neural Networks
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Capstone Project4课程 。
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Project Selection and Planning
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Data Collection and Preprocessing
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Model Development and Evaluation
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Project Presentation and Reflection
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