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  1. Jun 18, 2024 · This project involves the analysis of IMDB Movie Data using Python, pandas, matplotlib, and seaborn. The goal is to explore and visualize various aspects of movies, such as ratings, revenue, genre distribution, and other key metrics.

  2. Jun 13, 2024 · This article demonstrates how to perform sentiment analysis on IMDB movie reviews using Long-Short-Term Memory (LSTM) networks. Learning Outcomes: Grasp the fundamentals of sentiment analysis, its applications, and how it classifies text into positive, negative, or neutral categories.

  3. Jun 28, 2024 · Project Explanation. This project is based on a big movies dataset available on the platform IMDb.com https://www.imdb.com/ (around by 10 millions of movies, shorts, TV Episodes, and...

  4. Jun 21, 2024 · R Shiny allows for interactive web applications using R, and it's an excellent tool for visualizing and analyzing datasets like IMDb movie data. Below is an extended description of how to create such a dashboard, covering the dataset, key components of the dashboard, and detailed steps for implementation.

  5. Jun 10, 2024 · Exploring Movie Ratings Dataset in R. In this implementation, we will explore the IMDB Top 250 Movies Dataset. This dataset can be used to explore various factors behind a successful movie. You can download the dataset from here. Dataset Link: Movie Ratings Dataset

  6. Jun 10, 2024 · Sentiment-Analysis-on-IMDB-Dataset. The dataset was sourced from https://ai.stanford.edu/~amaas/data/sentiment/ and subsequently underwent preprocessing, consolidating both positive and negative reviews into a single file for training and testing purposes.

  7. Jun 18, 2024 · April 12, 2019. data viz Game of Thrones IMDB meta data Tableau visualization. As the masses flock to their couches to re-binge-watch all the episodes of Game of Thrones, salivating for the final season like a pack of ravenous wolves, add this dashboard to your meta nerd repertoire.

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