Do you like to learn how to forecast economic time series like stock price or indexes with high accuracy?
Do you like to know how to predict weather data like temperature and wind speed with a few lines of codes?
If you say Yes so read more ...
Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
In this Course you learn multilayer perceptron (MLP) neural network by using Scikit learn & Keras libraries and Python.You learn how to classify datasets by MLP Classifier to find the correct classes for them. Next you go further. You will learn how to forecast time series model by using neural network in Keras environment.
Next you are going to learn how to build RNN and LSTM network in python and keras environment. I start with basic examples and move forward to more difficult examples.
In the first section you learn how to use python and sklearn MLPclassifier to forecast output of different datasets.
In second section you can forecast output of different datasets using Keras library
Next you are going further and learn how to make Recurrent Neural Networks:
In the 3rd section you'll learn how to use python and Keras to forecast google stock price .
In the 4th section you'll know how to use python and Keras to predict NASDAQ Index precisely.
In the 5th section you'll learn how to use python and Keras to forecast New York temperature with low error.
In the 6th section you'll know how to use python and Keras to predict New York Wind speed accurately.
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Important information before you enroll:
In case you find the course useless for your career, don't forget you are covered by a 30 day money back guarantee, full refund, no questions asked!
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Click the "Take This Course" button at the top right now!
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I can't wait to see you in the course!
Best Regrads,
Sobhan
