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This project combines machine learning and natural language processing to predict stock prices. By integrating historical market data with sentiment analysis of news headlines, the model aims to provide accurate and insightful predictions.
This project aims to conduct sentiment analysis on Steam game reviews using an end-to-end machine learning pipeline. The process involves web scraping, data cleaning, exploratory data analysis (EDA), natural language processing (NLP), and sentiment analysis. The sentiment analysis is performed using the NLTK library, and the results are visualized
Here, you get the most advanced python project to impress your crush [By the way I'm lying your crush only hates you If you try to impress her by these projects].
A movie recommendation system, is an AI/ML-based approach to filtering or predicting the users’ film preferences based on their past choices and behavior. It’s an advanced filtration mechanism that predicts the possible movie choices of the concerned user and their preferences towards a domain-specific item, aka movie.
Using Multinomial Naive Bayes, this code snippet illustrates a text classification task. It starts by loading training and testing data sets containing text descriptions and the associated genres.