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Practical3 - classification

This directory contains 7 workflows.

Icon3.10_​kNN 

This workflow solves a classification problem on the iris dataset using the k-Nearest Neighbor (kNN) algorithm.

Icon3.11 Sentiment_​Classification 

This workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform them into numerical document […]

Icon3.5_​DecisionTree (1st exercise) 

Using the adult dataset, this workflow performs binary classification (income > or < 50K) using a Decision Tree. The target is the income column, either […]

Icon3.6_​DT model evaluation (Confusion_​Matrix) 

Confusion matrix: evaluate the performance of a classification model URL: Guide to Intelligent Data Science https://www.datascienceguide.org/

Icon3.7_​DT model evaluation (ROC Curve) 

Confusion matrix: evaluate the performance of a classification model URL: Guide to Intelligent Data Science https://www.datascienceguide.org/

Icon3.8_​K-fold CV 

This workflow shows how to train and test a basic classification model. Using the adult dataset, a decision tree is trained and tested to predict the […]

Icon3.9_​Decision_​Tree (2nd exercise) 

Decision Tree: binary classification of house ranking (high/low rank). - Create target column - Filter unnecessary columns - Split the dataset into train […]