WebMar 28, 2024 · Data Visualization Projects: Titanic Dataset Analysis, Finding Survival Rate - MasterMind LAB 2 comments 1 Login G Join the discussion… Log in with or sign up with … Web- GitHub - ats01ca/EDA-on-Titanic-Data-Set: Exploratory data analysis is one of the most important step for any data science project. Here we will do the data analysis of titanic dataset. To do the same we will use the Pandas,Seaborn and Matplotlib library.
Titanic Dataset - GitHub Pages
WebOct 16, 2024 · The dataset has the following features: PassengerId: Unique Id of a passenger survival: Whether a passenger survived or not; 1 if survived and 0 if not. pclass: Ticket class sex: Sex Age: Age in... WebAug 10, 2024 · The dataset consists of the information about people boarding the famous RMS Titanic. Various variables present in the dataset includes data of age, sex, fare, ticket etc. The dataset comprises of 891 observations of 12 columns. Below is a table showing names of all the columns and their description. Importing packages safest way to remove gel nails
Titanic test dataset · GitHub - Gist
WebSince there were a wide range of ages in the dataset, I decided to group them into specific ranges. ... There were 1,309 total passengers on the Titanic, not including the 900+ crew members. The age group with the highest representation among passengers were those between 18 and 35, accounting for 43.5% of the total passenger count. ... WebTitanic - Machine Learning from Disaster Kaggle search Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Please report this error to Product Feedback. Unexpected token < in JSON at position 4 SyntaxError: Unexpected token < in JSON at position 4 Refresh WebTitanic Dataset ¶ Kasey Cox / March 2024 Question: Which passenger characteristics correlate with survival? ¶ In [1]: %autosave 0 import numpy as np import pandas as pd import scipy.stats as stats import matplotlib.pyplot as plt import seaborn as sns %matplotlib inline Autosave disabled Wrangle data ¶ Import data and preview it ¶ In [2]: safest way to remove ear wax from ear drum