Data Science Python, Keras A.I., TensorFlow, and SQL tool to analyze, manipulate, and predict missing data

• Any dataset of three or more time series can be implemented to predict the gaps in one of the datasets
• This project can help you to learn: **- how to analyze, manipulate, and predict missing data, **- how to label, plot, and visualize data, **- how to detect correlations, **- how to transform or scale data, **- how to use Keras A.I. libraries for training data and predicting missing observations, **- python code which can be run on AWS Sagemaker or a desktop Jupyter notebook

Code and Resources Used

• Python Version: 3.0
• Packages/Libraries: pandas, numpy, matplotlib, datetime, seaborn, sklearn, StandardScaler, keras, Sequential, and Dense
• Dataframe Shape: (4, 724) to any large scale
• Additional References : None Yet