The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.

Neural Information Processing Systems is one of the top machine learning conferences in the world where groundbreaking work is published. In this Project, we analyzed a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning. The techniques used here to handle large amounts of data can be a…

Building a basic spam classifier with Tf-IDF Vectorizer and Naïve Bayes model

Resume classification is the task that automatically categorizes resumes or CVs into predefined domain categories or classes based on their content. This task is essential for the job recruitment process, particularly when organizations receive a large number of applications for various positions.

Mini project for predicting customer sentiment/satisfaction from 2000+ Amazon customer reviews using sentiment analysis in Python.

An NLP-based model designed to effectively identify and filter spam SMS messages. NLTK Library, Text Preprocessing, IF-IDF and more techniques used.

Machine Learning For Texts -- Study Project for Yandex Practicum