Data Science

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 POS tagging and Named Entity Recognition (NER) techniques to extract structured information from text data.

Implementing the KNN algorithm for classification tasks using Python

Implementing multiple linear regression for multivariate data analysis

Implementing simple linear regression using Python

Performing Exploratory Data Analysis and Feature Engineering