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This project aims to analyze the sentiment of reviews by implementing a review polarity classification system. I will compare the performance of three different feature representations, namely Bag of Words, TFIDF, and Word2Vector using KNN Algorithms
Scraping, processing and analyzing job offers to help job seekers on their journey. Technologies used: Selenium, SQL, Word2Vec/Doc2vec, Google Cloud, Docker, FastAPI, Streamlit. Capstone project for Le Wagon Data Science Bootcamp.
Designed the model predicting the Duplicacy of the Quora Questions Pair using Advanced Feature Extraction, tfidf weighted WordtoVec, Machine Learning Algorithms with Hyperparameter Tuning.