Case3-team2

Inspiration

AFT Hackaton

What it does

Success prediction algorithm for content based on IMDB Kaggle database.

How we made it

First, we looked at different datasets and took the most diversified and complete one. Next, we cleaned up this dataset to further improve the accuracy of the results. We continued by implementing an algorithm that takes into account the most important factors of a movie, where we had to decide about the importance of every parameter.

Challenges we ran into

Creating an accurate algorithm for description matching wasn't easy. It took several attempts and liters of coffee before we were able to finetune the algorithm to a point we were satisfied.

Accomplishments that we're proud of

We designed an intricate method to compare movies based on IMDB scores and predict success. So... we have a working algorithm!

What we learned

Learned a lot about using data science tools in order to extract important data out of a dataset. We also learned to work with Jupyter Notebook to obtain our goal. Teamwork makes the dream work!