#13 Movie Recommendation System | Advanced Python Projects | For Beginners

Описание: In this video, we are going to see about how to create a Movie Recommendation System in python.

We have used libraries like: numpy, pandas, seaborn, Sklearn, matplotlib to develop this python project.

Ever wondered how Netflix or Hotstar recommends new movies based on the watch history, how Amazon or Flipkart suggests new products based on your order or search history?

These suggestions or recommendations are done by a system called a recommendation system.
Movie Recommendation is a system that will foresee as per the client's decision and it will characterize clients with comparable interests.

The detailing of libraries that we have used in making this system are as follows:
Pandas for data manipulations.
Numpy for mathematical operation.
Sklearn for statistical modeling.
Matplotlib for graphical plotting.
Seaborn used for data visualization.

For Source Code:
https://github.com/Sachinpatel95/Movi...
--OR--
https://github.com/upasi-shah/Movie-R...

LinkedIn Profile:
  / sachin-patel-eternal-guru-13552412a  

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