Update README.md

Author: ahmedfgad

README.md

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 # GeneticAlgorithmPython
 
-As part of a series of 3 projects that uses Python 3 (with the user of NumPy) to build and train artificial neural networks using the genetic algorithm, **GeneticAlgorithmPython** is the first project which is an open-source Python 3 project for implementing the genetic algorithm based on NumPy. 
+As part of a series of 3 projects that uses Python 3 (with the user of NumPy) to build and train artificial neural networks (ANNs) using the genetic algorithm (GA), **GeneticAlgorithmPython** is the first project which is an open-source Python 3 project for implementing the genetic algorithm based on NumPy. 
 
 Based on this project, a Python library named [`PyGAD`](https://pypi.org/project/pygad) is available at PyPI: https://pypi.org/project/pygad. To install PyGAD using pip, just issue this command:
 
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 Simply, to run the genetic algorithm all you need to do is to create an instance of the `GA` class and pass the appropriate parameters to its constructor. The `GA` class has all the required parameters and methods for implementing the genetic algorithm. 
 
+**IMPORTANT** *If you are coming for the tutorial code of [GeneticAlgorithmPython](https://github.com/ahmedfgad/GeneticAlgorithmPython), then it has been moved to the [Tutorial Project](https://github.com/ahmedfgad/GeneticAlgorithmPython/tree/master/Tutorial Project) directory on 06 May 2020.*
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 The documentation starts by discussing the available parameters in addition to the steps of using the library. Note that the [PyGAD library](https://pypi.org/project/pygad) is a reflection to the **GeneticAlgorithmPython** GitHub project. As a result, the documentation can either use **project** or **library** interchangeably.
 
 ## The Projects in the Series