A jupyter notebook for analyzing and estimating with sklearn a multiclass classification problem for the Machine Learning (DD2421) course
NLP using Python, Sklearn, Decision Tree on Jupyter NoteBook
Aim was to classify the provided data with different classifiers and compare their performance. 17 different classifiers were employed and their results are documented in a Jupyter notebook
"A collection of Jupyter notebooks showcasing the implementation of key machine learning algorithms for classification and regression tasks using Python’s sklearn library. This repository includes detailed examples on SVM, KNN, and Logistic Regression models, complete with data preprocessing, parameter tuning, and comprehensive evaluations."
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