IMDb verilerini toplayarak en popüler filmleri ve türleri analiz edip gösteren prototip bir web projesi.
A collection of movies dataset for your ML project or any other task.
This repository contains business-related data analytics projects using Excel, Python, Tableau, and StatPlus. The projects cover tasks like survey data analysis, brochure demand forecasting, and movie data visualization, showcasing data processing, analysis, and visualization techniques.
Quality_Movie_Data_Analysis
Fetch movie data from multiple APIs (OMDB, TMDB, IMDB) to CSV, JSON, SQL and Excel.
Plataforma de streaming de filmes e séries desenvolvida como projeto de módulo do curso Resilia. Integração com API OMDB para informações de filmes, sistema de cadastro de usuários com validação de CEP (ViaCEP) e interface responsiva com Bootstrap.
Fetch TMDB movie data and export to CSV for NLP and Data Engineering
Academic data science project on the IMDB 5000 movie dataset featuring EDA, visualization, and ML (Regression & Classification) using R language.
This repository hosts an interactive Tableau dashboard designed for a deep-dive analysis of "The Movie Dataset." It allows users to visualize and explore trends in film genres, revenue, ratings, and production details to uncover insights into the world of cinema.
🎬 A Data Analysis project that analyzes IMDB movie ratings to uncover insights about rating distribution, top-rated movies, genre performance, and year-wise trends.
Movies & TV Show Data / Content for SERP Media
This project is a robust data scrapper that collects comprehensive information about movies from The Movie Database (TMDB) API. The dataset spans from the earliest recorded films (1874) up to recent releases (2024), providing a rich historical record of cinema evolution, production details, popularity metrics, and financial data.
This project explores a comprehensive movie dataset to uncover trends and insights related to runtime, genre popularity, IMDb ratings, director performance, and box office earnings. Using Python (Pandas, Matplotlib, Seaborn), we visualize patterns across thousands of movies, highlighting key factors influencing commercial and critical success.
Power BI Movies Dashboard analyzing 1M+ records to uncover revenue, ratings, and trends.
this is the final week in alx database module
MyCinemateHub is a movie and TV series discovery platform that allows users to explore titles, analyze cast and crew careers, view aggregated ratings and community opinions, discover personalized taste insights, check historical awards, browse soundtracks, compare titles side-by-side, calculate series binge times, and more.
A Movie Recommendation System is an intelligent application that suggests movies to users based on their interests, preferences, and past interactions
This project focuses on analyzing movie ratings data using matrix factorization techniques and clustering algorithms. The goal is to identify meaningful segments of users and movies, and to evaluate the clustering results through various metrics. We apply both hierarchical and K-means clustering methods.
Machine learning pipeline for predicting movie box office success. Includes web scraping, data pipelines, feature engineering, ML models, MLflow tracking, and a web interface for predictions.
Exploratory data analysis, visualization, and predictive modeling of IMDb movie ratings and revenue (EECS 6414 course project)
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