7 libraries that help in time-series problems

Automate Time-Series problems!

Time series problems are one of the toughest problems to solve in data science. Traditional methods that are time-aware like ARIMA, SARIMA are great but lately they have largely been accompanied by the non-time aware and robust machine learning algorithms like XGBoost, LigthGBM, and so forth because of need and proven successful track records. However, using these methods require extensive data preparation like removing periodicity, removing trend from the target and engineering features like rolling…