Movies-Analysis-Recomendation-System
Abdelrhman Sadek
Data Scientist
Data Analyst
Python
scikit-learn
GitHub
Movies-Analysis-Recomendation-System
Analysis & Recommendation
Description:
Recommendation systems are among the most popular applications of data science. They are used to predict the Rating or Preference that a user would give to an item.
Almost every major company has applied them in some form or the other: Amazon uses it to suggest products to customers, YouTube uses it to decide which video to play next on auto-play, and Facebook uses it to recommend pages to like and people to follow.
we have 2 datasets:
1-credits contains movie cast and crew members
2-movies contanis all the descriptions and information about the movie('overview', 'budget','gera', etc)
the goal is to do movies analysis then give and give information about the movie then give to recommendation to simular Movies
Analysis Results:
the Analysis was about:
Movie Genra listing form the highest to the lowest:
All Movies have a Keyword that specifies or give a hint about what is the movie is talking about or what is the story its telling that is the most frequent Keywords:
Country and the movie count prodictions: <
Highest vote counts movies:
Highest 20 Movie in popularity:
Budget ranges and what is the most frequent one for a budget:
The relationship between the budget and revenue:
Recommendations Results:
