Quick simple tutorial on ARIMA time series forecasting in Python. Data : https://drive.google.com/open?id=1ytbaSkksPbdljdkzH4EjC1chGYkJuwZM
Code (jupyter) : https://drive.google.com/open?id=1Z-35uZpDfwVcPXlY-BrdvdnYczAbDkXI
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Your can work on above project ‚Time Series Forecasting Theory Part 2‘
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Welcome to part 8 of the Deep Learning with Python, Keras, and Tensorflow series. In this tutorial, we’re going to work on using a recurrent neural network to predict against a time-series dataset, which is going to be cryptocurrency prices.
Text tutorials and sample code: https://pythonprogramming.net/cryptocurrency-recurrent-neural-network-deep-learning-python-tensorflow-keras/
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Access the Python for financial analysis course here http://bit.ly/2I2vYX8
Python is great for financial analysis and algorithmic stock market trading. In fact Wes McKinney developed Pandas, which is a python library, for a hedge fund group. Here I review the Udemy course by Jose Portilla. I am a big fan of his courses and have taken many of them, including this one. Watch the video to find out what I think.
More Python Learning resources:-
1. Complete Python Bootcamp http://bit.ly/2CoKvxp
2. The Python Mega Course http://bit.ly/2BVjtgw
3. Learning Python for Data Analysis and Visualization http://bit.ly/2kTbMNe Video Rating: / 5