项目作者: Ishan-Kotian

项目描述 :
If you liked my analysis, pls upvote my notebook!
高级语言: Jupyter Notebook
项目地址: git://github.com/Ishan-Kotian/Titanic-Machine-Learning-from-Disaster.git
创建时间: 2021-04-05T11:52:54Z
项目社区:https://github.com/Ishan-Kotian/Titanic-Machine-Learning-from-Disaster

开源协议:GNU General Public License v3.0

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Titanic-Logistic Regression and Random Forest Classifier

Competition & dataset:https://www.kaggle.com/c/titanic

Goal:
It is your job to predict if a passenger survived the sinking of the Titanic or not.
For each in the test set, you must predict a 0 or 1 value for the variable.

Metric:
Your score is the percentage of passengers you correctly predict. This is known as accuracy.

The file should have exactly 2 columns:

PassengerId (sorted in any order)
Survived (contains your binary predictions: 1 for survived, 0 for deceased)

PassengerId,Survived
892,0
893,1
894,0
Etc.

K-NN:https://www.kaggle.com/lykin22/titanic-kneighborsclassifier-top21

Logistic Regression & Random Forest:https://www.kaggle.com/lykin22/titanic-logistic-regression-and-random-forest