Detecting exoplanets in outer space

For the project explained in this chapter, we use the Kepler labeled time series data from Kaggle: https://www.kaggle.com/keplersmachines/kepler-labelled-time-series-data/home. This dataset is derived mainly from the Campaign 3 observations of the mission by NASA's Kepler space telescope.

In the dataset, column 1 values are the labels and columns 2 to 3198 values are the flux values over time. The training set has 5087 data points, 37 confirmed exoplanets, and 5050 non-exoplanet stars. The test set has 570 data points, 5 confirmed exoplanets, and 565 non-exoplanet stars.

We will carry out the following steps to download, and then preprocess our data to create the train and test datasets: 

1. Download the dataset using the Kaggle API. The following code will be used for the same:

armando@librenix:~/datasets/kaggle...