kaggle　Titanic

Titanic – Machine Learning from Disaster　kaggleリンク

タスク　：分類
目的　　：乗客が生き残ったかどうかを予測
評価指標：accuracy

The sinking of the Titanic is one of the most infamous shipwrecks in history.

On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew.

While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.

In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

# 使用するライブラリ
import pandas as pd
import numpy as np
pd.plotting.register_matplotlib_converters() # to handle "datetime" type
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split, GridSearchCV, KFold, StratifiedKFold, cross_val_score
from sklearn.ensemble import RandomForestClassifier as RFC
from sklearn.metrics import confusion_matrix, classification_report
import xgboost as xgb
import lightgbm as lgb
import catboost

kaggle Titanic

Titanic – Machine Learning from Disaster kaggleリンク

kaggle　Titanic

Titanic – Machine Learning from Disaster　kaggleリンク