This projects contains a Python project for sentimental analysis of IMDB movie reviews. The project uses a Random Forest Classifier to predict sentiment from text data. It demonstrates data loading, cleaning, preprocessing, and modelling using Sklearn's machine-learning library.

The project demonstrates text cleaning skills as it cleans the review text. It later vectorises the text to transition the code to binary so that a random forest model can be built. It also provides a detailed classification report.