Udacity Machine Learning Nanodegree Project 2. Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass. Selected the best model based on relative accuracy and efficiency.
#Building a Student Intervention System Udacity Machine Learning Engineer Nanodegree Project 2
Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass. Selected the best model based on relative accuracy and efficiency.
This repsitory contains Jupyter (iPython) notebook file and a PDF report.
Udacity Machine Learning Nanodegree Project 2. Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass. Selected the best model based on relative accuracy and efficiency.