We experimented with 1.3 billion data with 6 servers and 3 old notebooks on Languages: Python, Golang, Java, Node.js, Scala Database: Hadoop Docker: Docker Swarm, Docker machine Main software library: TensorFlow, Keras, Pyspark, Scikit-learn, Scipy Machine Learning regression techniques: linear regression, Support Vector Machine Regression (SVM), Gaussian Process Regression, Regression Trees Machine Learning Time series analysis techniques: autoregressive integrated moving average (ARIMA) Machine Learning neural networks techniques: multilayer perceptron, Long short-term memory recurrent neural network(artificial neural network), LSTM with transfer learning Other Tools: VS Code, Excel, Gatling