Supervised Learning - Movie/TV-Show recommender

Specification

Movie/TV-Show recommender

This program will recommend you what movie or th-show to view based on what Movie/TV-Show you like. You should be able to search for recommendations from your Movie/TV-Show title, cast, director, release year and also Description, and get back a recommendations with a explanation on what just this title might suit you. It will get you about 25 recommendations of movies in order of rank from your search, and the same from TV-Shows that will match the same way as Movies.

Data Source:

I will use 4 datasets from kaggle, 3 datasets from streaming-sites Netflix, Amazon Prime and Disney Plus, also 1 from a IMDB dataset.

Model:

I will use k-Nearest Neighbors (k-NN) alhorithm that can help me find other titles based on features like Title, Release year, Description, Cast, Director and genres.

Features:

1. Load data from several data-files and preprocessing.
2. Model training with k-NN algorithm.
3. Search with explanation

Requirements:

1. Title data:
   • Title
   • Genres
   • Release year
   • Cast
   • Director
   • Description
2. User data:
   • What Movie / TV-Show
   • What genre
   • Director

Libraries

• pandas: Data manipulation and analysis
• scikit-learn: machine learning algorithms and preprocessing
• beatifulsoup4: web scraping (if necessary)

Classes

1. LoadData
   • load_data
   • clean_text
   • clean_data
   • load_dataset
   • create_data
   • save_data
   • load_data
2. UserData
   • input
3. Recommendations
   • get_recommendations