AT1 - Data Science

Aula 1

AT2 - Classification: Bayesians

Aula 2

AT3 - Classification: Analogizers and Data preparation

Aula 3

AT4 - Classification: symbolists and Overfitting

Aula 4

-- see in English --

AT5 - Classification: ensembles and Feature Engineering

Aula 5

AT6 - Classification: neural networks

Aula 6

AT7 - ML ops

Aula 7

-- see in English --

AT8 - Prediction and Forecasting

Aula 8

-- see in English --

AT9 - Time series

Aula 9

AT10 - Forecasting

Aula 10

-- see in English --

AT11 - Clustering and PCA

Aula 11

-- see in English --

AT12 - Anomaly detection and Pattern mining

Aula 12

-- see in English --

AT13 - Ethical concerns

Aula 13

-- see in English --

Teams registration

Aula 1

-- see in English --

E1 - Exercises

Aula 2

-- see in English --

Eval L1 - data profiling

Aula 3

-- see in English --

E2 - Exercises

Aula 4

-- see in English --

Eval L2 - data preparation

Aula 5

-- see in English --

E3 - Exercises

Aula 6

Eval L3 - classification

Aula 7

-- see in English --

E4 - Exercises

Aula 8

-- see in English --

Eval L4 - classification

Aula 9

-- see in English --

E5 - Exercises

Aula 10

-- see in English --

Eval L5 - forecasting

Aula 11

E6 - Exercises

Aula 12

-- see in English --

L6 - Project support

Aula 13

-- see in English --