Topic outline
- General
- Session 1: Foundation of Analytics
- Session 2: Foundation of Analytics
- Session 3: Introduction to Programming
- Session 4: Introduction to Programming
- Session 5: Foundation of Data Wrangling
- Session 6: Exploratory Data Analysis
- Session 7: Fundamental of Machine Learning I
- Session 8: Fundamental Machine Learning II
- Session 9: Essentials of Supervised Learning I
- Session 10: Essentials of Supervised Learning II
- Session 11: Unsupervised Learning I
- Session 12: Unsupervised Learning II
- Session 13: Model Selection & Evaluation
- Session 14: Model Selection & Evaluation
- Session 15: Build Machine Learning in AWS Sagemaker
- Session 16: Build Machine Learning II in AWS Sagemaker
- Session 17: Machine Learning Deployment I in AWS Sagemaker
- Session 18: ML Deployment II in AWS
- Session 19: ML Deployment III in AWS
- Master Sagemaker Notebook
- Session 20: ML Deployment IV in AWS