pablomateo / StudentsAdmissions

AI - Students Admissions Project in Keras

StudentsAdmissions

Udacity - Artificial Intelligence Nanodegree Program AI - Students Admissions Project in Keras

Students Admissions Project using Keras

This project is part of Udacity´s Artificial Intelligence Nanodegree Program. Here you will find my personal solution to the challenge. I first explain how you can download it and test it. Next, I have added Udacity´s original instructions for completing the project.

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Project Requirements

To fully test the project, you might need to install some required packages. Please start by downloading Anaconda using the following link: Download Anaconda. Once installed, clone this repository and access the downloaded folder through a terminal window. Next, you need to install the required packages:

Instructions

1. Clone the repository and navigate to the downloaded folder.

   	git clone https://github.com/pablomateo/StudentsAdmissions.git
   	cd StudentsAdmissions
   

2. Obtain the necessary Python packages, and switch Keras backend to Tensorflow.

   For Mac/OSX:

   	conda env create -f requirements/pmaienv-mac.yml
   	source activate pmaienv
   	KERAS_BACKEND=tensorflow python -c "from keras import backend"
   

   For Windows:

   	conda env create -f requirements/pmaienv-windows.yml
   	activate pmaienv
   	set KERAS_BACKEND=tensorflow
   	python -c "from keras import backend"
   

   For Linux:

   	conda env create -f requirements/pmaienv-linux.yml
   	source activate pmaienv
   	KERAS_BACKEND=tensorflow python -c "from keras import backend"
   

3. Enjoy!

If you want to check my submitted solution, instead run

 (pmaienv)$ jupyter notebook Student_Admissions.ipynb

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