Google search is great. You can ask any question you have and give you links to the potential solutions. It can sometimes give you the solution itself when the question is simple enough. One of such example is that google search can act as a calcualator. You can ask "1 + 1" or "1 + 1" to get the value 2. It somehow knows that the spaces are nuicense and return correct value. You can even ask the calculation with some strings. See pic below:

The goal of this blog is to learn the functionalities of Keras for language processing applications.

In the first section, I create a very simple single-word-in single-word-out model based on a single sentence. With this application, I make sure that the model works in this simple possible scenario and it can correctly predict the next word given the current word correctly for this trainning sentence.

This blog post is to remind myself the simple useage of the tweepy. I will extract someone's past tweets using tweepy and create .csv file that can be used to train machine learning models. I created the scripts by referencing the following seminal blog posts:

• api.user_timeline not grabbing full tweet

• yanofsky/tweet_dumper.py

• tweepy

Importing necessary python scripts.