Lectures
Week01
- Course Introduction, Course Scheduling
- Concepts and Tools (Video)
- Python Context (Video)
- Python basics (Video)
- Data structures (Video)
- Lists
- Programming Fundamentals (Video)
- Strings
- Object Oriented Programming in Python (Video)
Week02
Week03
Week04
Week05
- scikit-learn
- Lab 04, Lab05
Week06
- Data Preparation and Exploratory Analysis
- Supervised Learning (Classification, Regression)
- Unsupervised Learning (Features Reduction, Cluster Analysis)
Week07
Week08
Week09
Week10
Week11
Costa, C. J., & Aparicio, J. T. (2020). POST-DS: A Methodology to
Boost Data Science. In 2020 15th Iberian Conference on Information
Systems and Technologies (CISTI) (pp. 1-6). IEEE.
Week12
Este artigo é privado e está apenas disponivel para membros do grupo: Alunos de Programming for Data Science (PDS-DAB) 2 Semestre - 2020/2021 ou Professores de Programming for Data Science (PDS-DAB) 2 Semestre - 2020/2021
Week13
Projects Presentation