About
This project was my capstone project of the Udacity Machine Learning Engineer Nanodegree (https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009).
Project Summary
Predicted job chances for bootcamp participants after finishing a bootcamp based on a new coder survey published 2016 by FreeCodeCamp and CodeNewbie.org on kaggle.com.
Data
The "2016 New Coder Survey" can be found here: https://www.kaggle.com/freecodecamp/2016-new-coder-survey-.
Steps involved
- preprocessed "2016 New Coder Survey" dataset
- implemented training and testing data split
- trained a random forest classifier to predict a bootcamp participants job chances
- tweaked parameters of the classifier to reach a F1 score of 0.8832
- visualized most important features that influence whether a bootcamp participant gets a job afterwards
