DS-in-the-Entertainment-Industry

Intuitive notebook for Data Science approaches in the Entertainment Industry.

This Github Repository contains demonstrations for addressing some issues on real word problems that the Entertainment Industry faces. Please check out my Medium Post for more information.

Data Resources used in the notebooks

Kaggle is an amazing platform for learning more about different data science , machine learning and depp learning techniques. Links to all the datasets are given below:

1. I’m Something of a Painter Myself --> This dataset was used in the notebook demonstrating the GANs approach.
2. IMDB Dataset of 50K Movie Reviews --> This dataset was used in the notebook demonstrating Sentiment analysis on movie reviews.
3. Cinema Tickets --> This dataset was used in the notebook for Forecasting the revenue growth using TimeSeries analysis and Machine Learning.
4. Anime Recommendation Database 2020 --> This dataset was used for Exploratory Data Analysis and creating a recommendation system.

Please feel free to check out my other Repos and leave feedbacks!