Update README.md

README.md

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-# Bitcoin_plotly_keras
-Data Analysis and Visualization on Bitcoin historical data data with Plotly and Price Prediction with Keras.
-Please visit [this link](https://nbviewer.jupyter.org/github/AsunaMasuda/Bitcoin_plotly_keras/tree/master/Bitcoin%20Analysis%20and%20Visualization%20with%20Plotly,%20Price%20Prediction%20with%20Keras.ipynb) to see fully rendered visualizations by Plotly. (The ipython in Github repository cannot show visualizations by plotly.)
+# Bitcoin Analysis and Visualization with Plotly, Price Prediction with LSTM model
+\* In order to see fully rendered visualizations by Plotly, Please visit [this link](https://nbviewer.jupyter.org/github/AsunaMasuda/Bitcoin_plotly_keras/tree/master/Bitcoin%20Analysis%20and%20Visualization%20with%20Plotly,%20Price%20Prediction%20with%20Keras.ipynb) (The ipython in Github repository cannot show visualizations by plotly.)
 
-## Conda Environment
+## Overview:
+This notebook focuses on these two purposes below, mainly for the writer's self-learning purpose:
+
+- Data clearning and analysis with Python libraries and Bitcoin price prediction by deep learning algolism called LSTM with Keras
+- Interactive Data visualizations with Plotly
+
+<p><img src="bit_image.jpg" style="width:500px"></p>
 
 ## Reference:
+To create this notebook, 
+<br>For data visualization with Plotly:
+<br>I refered to [a Kaggle post](https://www.kaggle.com/kanncaa1/plotly-tutorial-for-beginners) by [DATAI](https://www.kaggle.com/kanncaa1) and Plotly [official document](https://plot.ly/python/).
+<br>For price prediction with LSRM by Keras:
+<br>I refered to [a jupyter notebook](https://github.com/dashee87/blogScripts/blob/master/Jupyter/2017-11-20-predicting-cryptocurrency-prices-with-deep-learning.ipynb) which explained an applicaiton of deep learning to Bitcoin/Etherium price prediction by a data scientist [David Sheeran](https://dashee87.github.io/about/).