# <p class="text-h">Homework 2 - Income Prediction</p> ### <p class="text-hh">Announcements</p> #### 3/14 * Sample code will be released at 03/14/2019 23:59:59 (GMT+8) * 手把手教學 release! * Deadline update! #### 3/7 * HW2 release! <hr> ### <p class="text-hh">Links</p> * 作業投影片 <a href="https://docs.google.com/presentation/d/1f4a81OqeG27pRHuqHXg7Qi0KJ4SlLBDpe9ljNu3IXT0/edit#slide=id.p1" target="_blank"><i class="fa fa-book"></i></a> * Kaggle 連結 <a href="https://www.kaggle.com/c/ml2019spring-hw2" target="_blank"><i class="fa fa-trophy"></i></a> * Report 模板 <a href="https://docs.google.com/document/d/1go9xDFjxZzlWW61UBj-7PRYLgHVpcnJPTKMY10iXlYU/edit?usp=sharing" target="_blank"><i class="fa fa-file-text"></i></a> * (有遲交的同學才需填寫)遲交表單 <a href="https://docs.google.com/forms/d/e/1FAIpQLSfg6M71J_Fx5Vs_FXZRQMFz-BwKugq_ba0PoynsGLR5fLiFQA/viewform" target="_blank"><i class="fa fa-clock-o"></i></a> * Sample code (Logictic regression) <a href="./LogisticRegression.html" target="_blank"><i class="fa fa-book"></i></a> * Sample code (Generative model) <a href="./ProbabilisticGenerativeModel.html" target="_blank"><i class="fa fa-book"></i></a> * 手把手教學投影片 <a href="https://docs.google.com/presentation/d/1Gd_CSfYKtlheqtlRsP5CKVpWIKK9WUZDp5q3K3SfSRo/edit#slide=id.g5047f99cc6_0_0" target="_blank"><i class="fa fa-book"></i></a> <hr> ### <p class="text-hh">Deadlines</p> * Early Baseline Deadline: 03/14/2019 23:59:59 (GMT+8) * Kaggle Deadline: 03/23/2019 11:59:59 (GMT+8) * Github Deadline: 03/24/2019 23:59:59 (GMT+8) <hr> ### <p class="text-hh">Assignment Regulation</p> * Only Python 3.6 available !!!! * For `hw2_logistic.sh` and `hw2_generative.sh` : * ALL python standard library is permitted (e.g. sys, csv, time) * numpy >=1.14 * scipy == 1.2.1 * pandas >= 0.24.1 * For `hw2_best.sh` : * Tensorflow == 1.12.0 * Pytorch == 1.0.1 * Keras == 2.2.4 * Scikit-learn == 0.20.0 * 不可以使用 xgboost, AdaBoostClassifier, ExtraTreesClassifier <hr> ### <p class="text-hh">FAQ</p> <p>Q1：請問kaggle的組隊人數上限？</p> <p>A1：hw2為個人作業，不用在kaggle上進行組隊。</p> <hr>