DataMining - Portfólio

[2022-2023] Mineração de Dados

Membros

• PG50739: Rui Guilherme Bretão Rego dos Santos Monteiro
• PG50519: José João Cardoso Gonçalves

Sumário:

TPC1 - (Lecture 1)

• Class Dataset

TPC2 - (Lecture 2)

Modelos de Feature Selection:

• Variance Threshold
• SelectKBest: keep the K features with smallest values for the used metric
• f_classif: ANOVA
• f_regression: linear regression

TPC3 - (Lecture 3)

• Decision Trees

TPC4 - (Lecture 4)

• Guassian Naive Bayes (Text Classification using vectorizer to convert the sentences into a numerical matrix)
• Prism ruled based classifier

TPC5 - (Lecture 5)

• Class TransactionDataset
• Class AprioriAlgorithm
• Association rules from frequent itemsets

TPC6 - (Lecture 8)

• Class MLP
• Class DNN (Deep Neural Network)