- 3 Sections
- 19 Lessons
- 32 Hours
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- PERSIAPAN2
- PELAKSANAAN17
- 2.11. Current Status of Python
- 2.22. Modern Python Development Environments
- 2.33. Interfaces, Patterns, Modularity, and Packaging Libraries
- 2.44. Concurrency
- 2.55. Event-Driven Programming
- 2.66. Testing and Quality Automation
- 2.77. Code Optimization
- 2.88. Fast Array Operations with NumPy, Pandas, Xarray
- 2.99. Introduction to Data Science
- 2.1010. Preparing Data for Machine Learning: Feature Selection, Feature Engineering, and Dimensionality Reduction
- 2.1111. Machine Learning for Classification
- 2.1212. Evaluating Machine Learning Classification Models and Sampling for Classification
- 2.1313. Machine Learning with Regression
- 2.1414. Tree-Based Machine Learning Models
- 2.1515. Support Vector Machine (SVM) Machine Learning Models
- 2.1616. Clustering with Machine Learning
- 2.1717. Model Explainability and Interpretability
- PENUTUPAN2
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