- 3 Sections
- 19 Lessons
- 32 Hours
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- PERSIAPAN2
- PELAKSANAAN17
- 3.01. Current Status of Python
- 3.12. Modern Python Development Environments
- 3.23. Interfaces, Patterns, Modularity, and Packaging Libraries
- 3.34. Concurrency
- 3.45. Event-Driven Programming
- 3.56. Testing and Quality Automation
- 3.67. Code Optimization
- 3.78. Fast Array Operations with NumPy, Pandas, Xarray
- 3.89. Introduction to Data Science
- 3.910. Preparing Data for Machine Learning: Feature Selection, Feature Engineering, and Dimensionality Reduction
- 3.1011. Machine Learning for Classification
- 3.1112. Evaluating Machine Learning Classification Models and Sampling for Classification
- 3.1213. Machine Learning with Regression
- 3.1314. Tree-Based Machine Learning Models
- 3.1415. Support Vector Machine (SVM) Machine Learning Models
- 3.1516. Clustering with Machine Learning
- 3.1617. Model Explainability and Interpretability
- PENUTUPAN2