Academic

Performing exploratory data analysis on textual data, including obtaining frequent words, chapter lengths, frequent phrases, named entities, and data visualization through word clouds, bar plots, and histograms.

Implementing feature engineering techniques on textual data, including label encoding, one-hot encoding, Bag of Words (BoW), and TF-IDF, with analysis and comprehension of different approaches to convert text into vectors.

Implementing the KNN algorithm for classification tasks using Python

Implementing multiple linear regression for multivariate data analysis

Analyzing and enhancing image contrast through histogram processing

Implementing simple linear regression using Python

Performing Exploratory Data Analysis and Feature Engineering

Implementation of the First Come First Serve (FCFS) algorithm for process scheduling, calculating turn around time, wait time, and their respective averages, with and without considering arrival times.

Implementation of the Priority Scheduling algorithm for process scheduling, with and without considering arrival times (preemptive), calculating turn around time, wait time, and their respective averages.

Implementation of the Round Robin algorithm for process scheduling, with and without considering arrival times (preemptive), calculating turn around time, wait time, and their respective averages, along with functions to sort processes based on burst times.