WEEK 2-Cities and Restaurants
Team Members : Ahmet Oruç, Sergen Topçu, Denizkaan Aracı
In our previous blog post, we gave information about our project and talked about why our project was a restaurant choice. In this process, we can realize our project, how we can evaluate the dataset we find. We tried to decide on the features of this dataset suitable for our project. At the end of the review, we decided that the dataset we thought was intended to be used could not actually do “binary classification”. So we did some research to find a new dataset suitable for our project. At the end of these investigations, we decided that it was the dataset produced by the most suitable dataset yelp company for my project.
After that, we decided on the appropriate features for this dataset project. So, in general, we found the most suitable dataset for our project called “Cities and Restaurants” and decided on the features appropriate to my project. In the next stage, we will make plans for our project and decide on the distribution of tasks. At the same time, we will decide which algorithms will work better in this project. We will share this information in our next blog post.
The dataset we have decided to use is available from the link below.
See you in our next blog post.
