I achieved my 52nd bronze medal in a Kaggle competition prediction on the probability of flooding

I always enjoy the first of the month when Kaggle puts out a new playground competition. This month’s competition was to predict on the probability of flooding in different areas. The flooding competition can be found here:- https://www.kaggle.com/competitions/playground-series-s4e5

I have been endeavouring to learn as much about the Tensorflow library as I can, so I decided to use a linear deep neural network (DNN) to solve this competition problem. A diagram of a DNN can be seen below:-

I created a Jupyter Notebook with Kaggle and stored it in my Kaggle account.

The first thing that I did was to import the libraries that I would need to run the program. The ones I used in this instance were:-

1. Numpy to create numpy arrays and perform numerical computations,
2. Pandas to create dataframes and process data,
3. Os to go into the operating system and retrieve files,
4. Sklearn to provide machine learning functionality,
5. Matplotlib to visualise the…