What Will You Learn?
- Build and deploy machine learning models with Python.
- Apply data preprocessing techniques effectively.
- Implement various machine learning algorithms.
- Analyze and interpret machine learning results.
- Solve real-world problems using machine learning techniques.
Curriculum
1. Overview of Machine Learning
2. Python Libraries for Machine Learning
3. Data Preparation and Cleaning
4. Building Your First Model
1. Choosing the Right Algorithm
2. Model Training and Testing
3. Evaluating Model Performance
4. Improving Model Accuracy
Requirements
- Basic knowledge of Python programming.
- Understanding of fundamental machine learning concepts.
- Experience with data analysis and preprocessing.
- A computer with Python installed.
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Student Feedback
Thomas Fischer
An excellent course for practical machine learning with Python. The hands-on projects were particularly useful for understanding real-world applications.
박철수 (Park Cheol-su)
Great course with detailed explanations and practical exercises. A bit more depth on advanced topics would be appreciated.
Andrea Ferrari
Informative and well-structured. The course covers essential aspects of machine learning with practical examples, though more interactive content could enhance learning.