NLP LSTM model to predict python codes (Text prediction) (Tokenized special characters)

Fizz buzz is not yet another implementation of Fizz buzz. Fizz buzz is a demo of an homogeneous and consistent development and documentation environment.

A novel approach towards video-ranking using intent and relevance feedback

Analyzed posts on Reddit related to Black Friday using topic modeling, sentiment analysis, linear regression, and other statistical techniques to uncover user attitudes and trends.

An ATS app automates the recruitment process by managing job applications, parsing resumes, and screening candidates. It centralizes candidate data, facilitates collaboration among hiring teams, and ensures compliance with hiring regulations.

This is a Email/SMS spam detection app that uses Multinominal Naive Bayes model to make prediction with an accuracy score of 97.0%.

SpamGuard is an intelligent SMS filtering system designed to detect and filter spam messages using machine learning techniques.

Data Science - Text Mining Work

A project on Fake news detection using ML and DL approaches

The comparison between different embeddings (TF-IDF, USE, and TF-IDF + USE) and various classifiers provides valuable insights into the performance of different techniques for sentiment classification.

Proyek ini bertujuan untuk mengembangkan model yang dapat menentukan apakah produk dalam review direkomendasikan atau tidak berdasarkan teks ulasan yang diberikan oleh para pengulas.

Fuzzy Matcher utility provides you robust fuzzy matching based on Levenstein distance enabled with caching and parallization

Unsupervised Machine Learning project for Netflix Movies and TV Shows Clustering. The main goal of this project is to create a content-based recommender system that recommends top 10 shows to users based on their viewing history.

Performed PySpark based text pre-processing including lemmatization, POS tagging and UDF functions on customer feedback. Computed and visualized sentiment score to identify areas of improvements.

AlmaBetter Capstone Project -Classification model to predict the sentiment of COVID-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done then.

All NLP related courses on DataCamp

This is project is based on the text classification using NLP .

Machine learning model to predict emotions throught text