This is the code repository for Data Mining with Python: Implementing Classification and Regression, published by Packt. It contains all the supporting project files necessary to work through the ...

Finally, after implementing SVM for multiclass classification problems, you need to evaluate the performance of the model using some metrics, such as accuracy, precision, recall, or F1-score.

Implementing Random Forest Classification in Python in 10 lines Random Forest algorithm is like an ensemble algorithm made of Decision Trees, which comprises more than one decision tree to create a ...

In an era dominated by technological advancements, the integration of AI has become a game-changer for industries worldwide. Python, renowned for its simplicity and versatility, stands as the go-to ...

Implement classification models such as Naive Bayes, SVM, or deep learning models like LSTM for prediction tasks. Evaluate models using metrics like accuracy, precision, and recall to assess ...

Deep Learning with Yacine. Sleep Classification with Python – EEG, Sklearn and MNE – Part 1. Posted: May 16, 2025 | Last updated: May 16, 2025 ...