IT - Python - Installation Instructions - Computer Science Assessment answer

IT - Python - Installation Instructions - Computer Science Assessment answer

Assignment Task: To be able to do the deep learning part of the assignment you will require the following packages: ? Jupyter notebook (v4 or later) ? Tensorflow (v1 or later) ? Keres (v2 or later) ? Python 3 (3.7 is most stable) ? Matplotlib (v1.4 or later) ? Scipy (v0.16 or later) ? Numpy (v1.1 or later) ? Scikit-learn (v0.15 or later) ? Pandas (v 0.16 or later) The recommended way to install all the required packages and their dependencies are to use Miniconda. You can follow the following instructions to get your setup ready: Install Miniconda suitable for your OS. You will need the Python 3.7, 64-bit version. Miniconda and its installation instruction can be found in the following website: https://docs.conda.io/en/latest/miniconda.html. If given the option, select to install “only for this user” to avoid the need to run the anaconda prompt as administrator. If using Windows launch an Anaconda Prompt (type in anaconda to the “search programs and files” at the start menu) and type at the prompt, or if using Linux or MacOS type into a standard terminal: Conda install Jupiter matplotlib pandas scipy sci-kit-learn Install Keras and sensor flow with Conda-forge by typing condo install Keras sensor flow Finally, open the ipython notebook example provided: Type: cd path/to/files Jupiter notebook where of course “path/to/files” is the directory path where your assignment files are stored. Successful execution of the provided ipynb file will ensure that your setup is correct.

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