nv2105/MovieIQ-Predictive-Analytics-on-Film-Success
MovieIQ is a Streamlit-based interactive dashboard that predicts movie success using data-driven insights. It combines data cleaning, visualization, statistical tests, and a Random Forest model to analyze how factors like budget, genre, and ratings influence box office performance.
No commits in the last 6 months.
Stars
12
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jul 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nv2105/MovieIQ-Predictive-Analytics-on-Film-Success"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
LJSthu/Movie-Analysis
使用机器学习算法的电影推荐系统以及票房预测系统
MengtingWan/oscar
predicting oscars using machine learning methods
Vikranth3140/Movie-Revenue-Prediction
Movie Revenue Prediction System predicts the revenue of a movie with 14 parameters: name,...
devinw03/movie-genre-nlp
🎬 Classify movie genres from plot summaries using various models, including Transformers, with...
Zer0-Bug/IMDB_Prediction
End-to-End ML Pipeline for IMDB Rating Prediction w/ Advanced Feature Engineering.