Linear-Regression-on-Student-Grades-Data

KO | EN

gitlite — search

#typescript #go #golang #machine-learning #linux #docker #macos #nodejs #cli #awesome-list #security #ios #openai #open-source

Linear-Regression-on-Student-Grades-Data

(★ 8)

Implementing and Analysing Linear Regression on a Data Set of Student Grades - First project of Statistical Machine Learning course

Linear-Regression-on-Student-Grades-Data 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Linear-Regression-on-Student-Grades-Data
##Implementing and Analysing Linear Regression on a Data Set of Student Grades
<div class="col-sm-4 col-md-4" style="margin-left: -15px;">
<div class="panel panel-default">
    <div class="panel-body">
        <img src="figs/00.png" alt="Linear Regression">
    </div>

<div class="panel-footer">
        Linear Regression
    </div>
</div>
</div>
<div class="col-sm-4 col-md-4" style="margin-left: -15px;">
<div class="panel panel-default">
    <div class="panel-body">
        <img src="figs/01.png" alt="Lasso Regression">
    </div>

<div class="panel-footer">
        Lasso Regression
    </div>
</div>
</div>
<div class="col-sm-4 col-md-4" style="margin-left: -15px;">
<div class="panel panel-default">
    <div class="panel-body">
        <img src="figs/03.png" alt="Lasso Regression">
    </div>

<div class="panel-footer">
        Lasso Regression
    </div>
</div>
</div>

Implementation of a Simple Linear Regression and Lasso on 2 different datasets. Various evaluation metrics like RSS, R2, AIC and LOOCV were calculated and analyzed, on both train and test sets. Backward and Forward methods of model selection were examined and results were compared as first project of Statistical Machine Learning course

Linear-Regression-on-Student-Grades-Data

Linear-Regression-on-Student-Grades-Data 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Linear-Regression-on-Student-Grades-Data

Linear-Regression-on-Student-Grades-Data 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README