Teams registration

Aula 1

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Eval 1 - (optional) classification

Aula 2

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E1 - Exercises

Aula 3

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Eval 2 - data profiling

Aula 4

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E2 - Exercises

Aula 5

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Eval 3 - data preparation

Aula 6

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E3 - Project support

Aula 7

Eval 4 - classification

Aula 8

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E4 - Exercises

Aula 9

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Eval 5 - forecasting

Aula 10

E5 - Exercises

Aula 11

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Eval 6 - Forecasting

Aula 12

Lab - Forecasting: Exponential Smoothing + MLP + ARIMA + LSTMs.

E6 - Exercises

Aula 13

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E6 - Project support

Aula 14

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AT1 - Data Science

Aula 1

AT2 - Data Profiling

Aula 2

AT3 - Data Preparation

Aula 3

AT4 - Feature Engineering

Aula 4

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AT5 - Classification Algorithms

Aula 5

AT6 - ML ops

Aula 6

AT 7 - Deloitte presentation

Aula 7

Data science in the real world - talk by Deloitte.

AT8 - Time Series

Aula 8

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AT9 - Forecasting

Aula 9

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AT 10 - Forecasting with Neural Networks

Aula 10

Forecasting with neural networks: MLPs, RNNs, and LSTMs.

AT11 - Clustering and PCA

Aula 11

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AT12 - Anomaly detection and Pattern mining

Aula 12

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AT13 - Ethical concerns

Aula 13

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