In this video, I have explained Machine Learning Project in Python, to recommend Movies. It is an end to end Machine Learning Project. Explain Machine Project in detail, from scratch to deploying it as a web Application.
This Machine Learning Projects, recommends movies/ web shows to users based upon their selection. Machine learning project is so easy to implement. This Machine Learning projects add value to your resume. This end to end project helps to understand how to develop machine learning models from scratch.
This machine learning model, developed based on Cosine Similarity algorithm to identify recommend movies to users.
In this video, we’re going to create a machine learning project in Python. This project will be used to recommend movies to users.
Machine learning is a powerful tool that can be used to make predictions based on data. In this video, we’ll use machine learning to create a recommendation system for movies. By the end of the video, you’ll have a basic understanding of how machine learning works and how it can be used to create effective systems.
0:00 – 0:15 – Glimpse of the Project
0:16 – 03:33 – Explaining Model
03:34 – 12:40 – Pre Processing Data
12:41 : 19:40 – Model Creation
19:41 – 32:21 – Predicting values from model
32:22 – 34:46 – Saving Model
34:47 – 43:08 – Deploying model as Web App
43:09 – 45:05 – Demo