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First project in Udacity's "Intro to Machine Learning with TensorFlow" Nanodegree program. This project involves training a supervised model to determine whether individuals make more than 50k a year depending on other individual factors.

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AlexSath/P1_CharityML_Donors

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Overview

This project is the first project from Udacity's Machine Learning with TensorFlow program and aims to train a supervised machine learning algorithm using census data. Once trained, this model will be used to predict whether other census individuals make more or less than 50k a year.

Main File

The 'finding_donors.ipynb' is the main file of this submission and contains most relevant code and comments for the project.

report.html

An HTML version of the 'finding_donors.ipynb' file.

Other Files

The files 'census.csv', 'test_census.csv', and 'visuals.py' were all copied from the projects main repository created by Udacity. The link to this repo can be found here

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First project in Udacity's "Intro to Machine Learning with TensorFlow" Nanodegree program. This project involves training a supervised model to determine whether individuals make more than 50k a year depending on other individual factors.

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