Hello world! welcome to my humble repository. Using python, my project implements the "Multi-class classification-based algorithm" to create a software which identifies the neuron cell type based on specific input cell characteristics.
FOLDERS:
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project_raw_data: contains "ram.xlsx" spreadsheet which holds the raw data in a column-row representation.
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results: contains the results of the test cases made along the development of the project. The result files are in ".txt" format.
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source: contains the "basic_functions.py" file which contains the code of the software. The file "tests" contains the "test_read_data.py" file that has code designed to test the functions from the "basic_functions.py" file.
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Final assignment: contains a written report about the project's background, description of the data, an outline of the code used to create the software. The report will provide a reference for potential reuse/reproducibility of the code generated.
BUILD REQUIREMENTS:
- Algorithm: Machine learning - Multi-class classification
- Programming language: python 3.5.2 | Anaconda 4.1.1 (64-bit).
- Format of original data files: .xlsx
- 3rd party/open source libraries: openpyxl
- Operation system: ubuntu 16.04 LTS|64-bit.
CONTACT:
- Ahmed Adam | Email: [email protected]