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  1. Top 1000 Movies by IMDB Rating.

  2. Datasets. tenancy. Models. code. Code. comment. Discussions. school. Learn. expand_more. More. auto_awesome_motion. View Active Events. menu. Skip to content. search. Sign In. Register. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more. OK, Got it. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side.

  3. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training and 25,000 for testing.

  4. Jul 29, 2020 · I thought of writing a detailed explanation of my analysis of the very popular yet common dataset on the IMDB movie rating. Anyone who is a newbie and beginning a journey in data science...

  5. May 11, 2023 · For exploratory data analysis (EDA), We’ll be downloading and using 25k IMDb Movie Dataset from Kaggle. For this project, we will utilize essential Python libraries such as Pandas, Matplotlib...

  6. Pointer size: 133 Bytes. Size of remote file: 66.2 MB. Raw pointer file. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

  7. May 27, 2024 · There are 50000 data points in this well-compiled dataset with zero null values. I found that it had two columns, which were review and sentiment. The review column has reviews given by people...

  8. IMDb Dataset Details. Each dataset is contained in a gzipped, tab-separated-values (TSV) formatted file in the UTF-8 character set. The first line in each file contains headers that describe what is in each column. A ‘\N’ is used to denote that a particular field is missing or null for that title/name.

  9. The dataset used in this project is a kaggle dataset called the imdb-5000-movie-dataset. This dataset contains over 5000 records of randomly selected movies from imdb, containing 28 attributes of these records. This project is cleaning, analysing and visualizing the dataset.

  10. Explore 10000+ movies worldwide with the IMDB Movies dataset.

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