WebDec 30, 2024 · I thought: Why not try it on the Kaggle Titanic challenge? ... PassengerId 0 Survived 0 Pclass 0 Name 0 Sex 0 Age 177 SibSp 0 Parch 0 Ticket 0 Fare 0 Cabin 687 Embarked 2 dtype: int64 Logistic regression classifier. When modeling, it’s best to keep things simple: fewer features, less pre-processing ... WebNov 10, 2024 · Numerical variables, on the other hand, include SibSp, Parch, Age and Fare. Below are some of the insights that I have gathered from the EDA process: ... The Titanic survival prediction competition is an example of a …
Predicting the Survival of Titanic Passengers by Niklas …
WebNov 5, 2024 · The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. It was April 15-1912 during her maiden voyage, the Titanic sank after colliding with an iceberg and killing 1502 out of 2224 passengers and crew. In kaggle challenge, we're asked to complete the analysis of what sorts of people were likely to survive. WebNov 5, 2024 · The Kaggle Titanic test data set contains dummy data of 891 passengers who took part in ... ‘SibSp’ provides us the number of siblings or spouses on board and ‘Parch’ … lithren osrs
Exploratory Data Analysis of Titanic Survival Problem
WebJan 18, 2024 · Hello, thanks so much for your job posting free amazing data sets. I would like to know if can I get the definition of the field Embarked in the titanic data set. the … WebHowever, we have two clear winners for the titanic data set. Our LDA model and our knn model give the best accuracy. Unfortunately, we have not yet received an accuracy of 80% or higher. In my next blog post, we will though. After some research, I came along the gender model which will boost our accuracy to 82%. WebAbove is the training dataset of the titanic survival problem. It has 891 rows (number of passengers), and 12 columns (data about the passenger) including the target variable … lithrocal