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.

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 and preprocessing before creating new dataset csv file.
2. Model training with k-NN algorithm.

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
• numpy: numerical operations
• beatifulsoup4: web scraping

Classes

1. LoadData
   • Loading, cleaning and saving alla data to csv
   • check_data
   • clean_text
   • clean_data
   • load_dataset
   • create_data
   • save_data
   • load_data
2. UserData
   • input
3. Recommendations
   • get_recommendations