Here are two new projects I’ve been working on:

* Stock Forecasting using RNN, LSTM, GRU

* Another Stock Forecasting using RNN, LSTM, GRU

This shows the price forecast for Google stock using RNN, LSTM, and GRU. We can see that the GRU is closest to the actual price. However,

When running the models alone, we see that the RNN has a MSE (mean squared error) of 38.41.

The GRU model has a MSE of 44.51

And the LSTM has a MSE of 12.72 which makes it the better of the three.

To Do List:

1. Improve current Time Series model(s)
2. Implement Sentiment Analysis on markets
3. Build WebScraper
4. Create AI Chat Bot

It may be OCD but I really want to re-do every plotly and pandas viz I have in Seaborn. It’s so beautiful.