Data Analytics for Finding Loyalty of International Airline Passengers Using Deep Network MLP Combining with Machine Learning Algorithms on Python

There is a great challenge for International airlines companies in providing complete satisfaction to their passengers, where the previous studies has established satisfactory levels of airline passengers with limited data or analyzing the Big Data using machine learning algorithms, We have noticed that there is no research related with accuracy comparison of machine learning algorithms, these algorithms are used to assume the values of a given parameter and it is characterized by making together numerous parametric capacities. Each of these part capacities has various data sources and different yields. The deep neural networks are the profound learning calculation that can be comprehended as far as characterizing a single, deterministic capacity like Artificial neural network based Multilayer perceptron MLP. Thus we processed data to MLP and the output is further trained and tested with machine learning algorithms for maximum accuracy using Python. This paper primarily focuses on recognizing ANN based deep neural network algorithm MLP for organizing the Big Data in Python and secondly the processed output form MLP is classified using machine learning algorithms like Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Gradient Boosting Machine (GBM) individually to make it a Hybrid system as an ascertaining tool for a large portion of the contemporary business data obtained from huge datasets