In this project, we will implement the seq2se2 and create chatbots by training the seq2seq model on three datasets.
In this project, we will use beautiful soup to search for packets using a user-defined keyword. We will then create a GUI using Tkinter for the same and convert it to an executable(.exe) file.
This packet contains an overview of different hyperparameter tuning methods in the Scikit-Optimize and Hyperopt libraries.
An overview of different feature selection methods in Sklearn, Feature-engine and Mlxtend libraries.
An overview of different undersampling and oversampling methods in the imbalance-learn library for handling imbalanced data.