stock_price_prediction

The goal is to have a deep learning model to predict stock prices using tensorflow an other libraries. Please find the dataset attached here. The csv contains 41266 minutes of data from April to August 2017 on 500 stocks as well as the total S&P 500 index prices.

Just a small visualization done

import matplotlib.pyplot as plt
plt.plot('NASDAQ.AAL')
plt.show()

Using the above syntax will visualize the data

Task completed

• Evaluate Dimenality of dataset
• Create and arrange datasets into training and testing data
• use a scaling algorithm
• create the neural network
• create a cost function and optimize it
• Setup interactive plot
• Some more training
• Print final MSE after Training

Output: