Web逻辑回归预测泰坦尼克号乘客生存率 描述. rms泰坦尼克号的沉没是历史上最臭名昭着的沉船之一。1912年4月15日,在她的处女航中,泰坦尼克号在与冰山相撞后沉没,在2224名乘客和机组人员中造成1502人死亡。 WebJan 31, 2024 · The .describe() method provides some basic statistical details and we can derive some interesting insights too. Going column by column: The mean of the Survived column is at 0.38 which means that on average, more people died than survived. The average age of the passengers were 29 and ranges from as young as an infant to an …
Load CSV data TensorFlow Core
http://python1234.cn/archives/ai30162 Web# Analysis performed with Python 3.5.1 import pandas as pd import matplotlib.pyplot as plt import numpy as np import seaborn as sns import os %pylab inline script_dir = os.getcwd() file = "titanic_data.csv" abs_file_path = os.path.join(script_dir, file) titanic_df = pd.read_csv(abs_file_path) scalloped scarf knitting pattern
Titanic catastrophe data analysis using Python - AL-Hussain Maalla
WebSep 15, 2024 · Titanic Project, Data Science, Python, Data Analysis. AL-Hussain Maalla. About; Data Projects; Toggle Menu. AL-Hussain Maalla. Data Science Portfolio Follow. ... \Users\Usuario\Desktop\Titanic Project\data.csv") Let’s take a look for our data: titanic_df. head PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin … WebMar 24, 2024 · The "Titanic" dataset contains information about the passengers on the Titanic. The nominal task on this dataset is to predict who survived. Image from Wikimedia The raw data can easily be loaded as a Pandas DataFrame, but is not immediately usable as input to a TensorFlow model. WebTitanic Survival Dataset. My first data analysis/data visualization using Python and required modules and libraries. This is a scatterplot visualization of all the Titanic passengers who survived and perished after Titanic's collision and sinking on April 15, 1912. Features and Skills. Dataset based on a CSV file scalloped sequin wrap