This repository contains the assignment [AI-Assignment1] Data Analysis.ipynb for the course "Introduction to Artificial Intelligence".
Work with a dataset about 93 vehicles (Cars93_miss.csv) and perform data analysis, visualization, statistics, preprocessing, and encoding tasks using Python and popular data science libraries.
This repository also contains the classification assignment [AI-Assignment2] Classification.ipynb.
The assignment involves using the chemical composition data of wine to freely train your own classification model among several classifications to identify the type of wine and to check the accuracy of the model[cite: 3, 4]. The goal is to achieve an accuracy of 95% or higher for a perfect score.