Skip to content

Latest commit

 

History

History
15 lines (11 loc) · 763 Bytes

File metadata and controls

15 lines (11 loc) · 763 Bytes

My Solutions for Problem 1 and 2

Questions can be found here.


  • incorporating new features within the model to achieve more accurate predictions.
  • utilized regression techniques to forecast the timing of the next movie.
  • used classification techniques to classify movie genres.
  • the data files are stored in the required format for further processing.
  • One-hot encoding is applied to categorical features within the dataset.
  • BERT was employed to generate vector representations from textual data.