Introduction

For a long time, I heard that the problem of time series could only be approached by statistical methods (AR[1], AM[2], ARMA[3], ARIMA[4]). These techniques are generally used by mathematicians who try to improve them continuously to constrain stationary and non-stationary time series.

A friend of mine (mathematician, professor of statistics, and specialist in non-stationary time series) offered me several months ago to work on the validation and improvement of techniques to reconstruct the lightcurve of stars. Indeed, the _Kepler _satellite[11], like many other satellites, could not continuously measure the intensity of the luminous flux of nearby stars. The Kepler satellite was dedicated between 2009 and 2016 to search for planets outside our Solar System called extrasolar planets or exoplanets.

As you have understood, we are going to travel a little further than our planet Earth and deep dive into a galactic journey whose machine learning will be our vessel. As you can understand, astrophysics has remained a strong passion for me.

#towards-data-science #deep-learning #time-series-forecasting #machine-learning #data-science