Database design and optimization

  Using the dataset from: https://www.kaggle.com/datasets/danielgrijalvas/movies Build a model in google Colab using python and using the important columns (budgets, genre, gross, rating, year released, writer, director, star) from the dataset to predict IMDb rating (and compare it with the actual data). In the report, please state the theory used to build the model (linear regression/random forest/etc.), the key metrics, and key results.