Data Analysis and Exploration on different datasets

This Repository is about Exploratory Data Analysis on Kaggle's Top 1000 IMDb Movies dataset.

Scrapper to download the faces of all the actors in IMDB

This project aims to carry out the in-depth analysis of IMDB movie dataset. SQL and Excel are used to draw insights,

IMDB Movies Application using ReactJS and Tailwind CSS

Simple, package for looking up IMDB movie data by title.

The project creates a data analysis with R programming to determine if a film's IMDB ratings, directors, actors, genres, metascores, runtimes, and revenue affect the success of a movie and create bias reviews. The project further explores how IMDB ratings and metascores affect and correlate with each other. The raw dataset, IMDB_movies.csv, was …

Build a movies recommendation system clone using Movielens dataset to construct recommendation system such as Simple recommender, Content based recommender (based on movie description and metadata) , Collaborative-Filtering based recommender , and a Hybrid recommender system.

A quick guide to effortlessly scraping IMDb data, such as public movie lists and reviews.

CineSpace is a Movie Database MERN Web Application. It displays and recommends a list of most popular movies in IMDB. It allows users to maintain a watchlist, search for different movies by their title, genre, description.

Implementação de desafio do 7 Days of Code da Alura, usando conhecimentos de POO com Java

IMDb rating prediction using machine learning

REST API returns IMDb's Top 250 movies

Imdb auto ratings using selenium with python

IMDB-Get is a cross-platform desktop application that can be used to get information about movies from IMDB website using the OMDb API.

IMDB Scrapper is Chromium application build using Python, Eel, VueJs, HTML, CSS, and Javascript

Sentiment Analysis of IMDB Movie Reviews

Look up highlight text on Rotten Tomatoes or IMDB

Welcome to our group, descriptive and predictive analysis of IMDB scores