netflix reccomendation

1. One real-world problem where data science may provide helpful insights is predicting the popularity of a TV show or movie on Netflix. With the massive amount of data available on Netflix, it is challenging to determine which titles are going to be popular with audiences. By analyzing the features of the TV show or movie such as the director, cast, country of origin, release year, and listed genres, data scientists can predict the popularity of the content accurately. This prediction can help Netflix make informed decisions on which titles to purchase, promote and market.

Reference:

https://inventale.com/en/blog/imdb-forecasting/

1. The following code can be used to load the "netflix_titles.csv" dataset:

import pandas as pd 

netflix_titles_df = pd.read_csv('netflix_titles.csv') 

netflix_titles_df.head()

	show_id	type	title	director	cast	country	date_added	release_year	rating	duration	listed_in	description
0	s1	Movie	Dick Johnson Is Dead	Kirsten Johnson	NaN	United States	September 25, 2021	2020	PG-13	90 min	Documentaries	As her father nears the end of his life, filmm...
1	s2	TV Show	Blood & Water	NaN	Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...	South Africa	September 24, 2021	2021	TV-MA	2 Seasons	International TV Shows, TV Dramas, TV Mysteries	After crossing paths at a party, a Cape Town t...
2	s3	TV Show	Ganglands	Julien Leclercq	Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...	NaN	September 24, 2021	2021	TV-MA	1 Season	Crime TV Shows, International TV Shows, TV Act...	To protect his family from a powerful drug lor...
3	s4	TV Show	Jailbirds New Orleans	NaN	NaN	NaN	September 24, 2021	2021	TV-MA	1 Season	Docuseries, Reality TV	Feuds, flirtations and toilet talk go down amo...
4	s5	TV Show	Kota Factory	NaN	Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...	India	September 24, 2021	2021	TV-MA	2 Seasons	International TV Shows, Romantic TV Shows, TV ...	In a city of coaching centers known to train I...

The data dictionary for this dataset is as follows:

Column Name	Dictionary Definition
show_id	Unique identifier for each movie or TV show
type	Type of program (Movie or TV Show)
title	Title of the movie or TV show
director	Director of the movie or TV show
cast	Cast of the movie or TV show
country	Country of origin
date_added	Date the movie or TV show was added to Netflix
release_year	Year the movie or TV show was released
rating	Rating of the movie or TV show (e.g. PG-13)
duration	Length of the movie or TV show in minutes
listed_in	Genres of the movie or TV show
description	Description of the movie or TV show

The data is sufficient to make progress on the real-world problem of predicting the popularity of a movie or TV show. With the features available in this dataset, it is possible to build machine learning models to predict the success of a movie or TV show based on its features.

1. To solve the problem of predicting the popularity of a TV show or movie on Netflix, we can use machine learning tools such as regression analysis and decision trees. These models can take into account the features of the TV show or movie such as the director, cast, country of origin, release year, and listed genres to predict its popularity accurately. However, as with any machine learning problem, we need to be flexible in our approach and try different models and algorithms to find the one that works best for this particular problem. We may also need to preprocess the data, including handling missing values and encoding categorical variables, to ensure that the models can be applied effectively.