Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female
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Updated
Apr 12, 2022 - Jupyter Notebook
Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female
Detailed Exploratory Data Analysis (EDA) of the Titanic dataset.
Titanic Survival Data EDA and Simple Predictions Based on EDA
Data analysis and Machine learning on titanic data
How did passenger class affect survival on the Titanic?
Analyze the Titanic dataset to extract meaningful results.
Using Deep Learning to create a model that predicts which passengers survived the Titanic shipwreck.
Through an analysis of a dataset on the titanic, I seek to dig deeper into this tragedy by answering the broad question: What factors helped someone survive the sinking of the titanic?
This project focuses on Exploratory Data Analysis (EDA) to identify the key determinants that influenced survival during the infamous Titanic accident.
titanic dataset
Data Analysis on the RMS Titanic data set using Python
So I decide to work through the insight of Titanic tragedy with a glance at the Data (famously) provided on Kaggle.
Data Science internship at Asterisc Technocrat Pvt. Ltd. Task - Billioniaire Analysis, Covid - 19 Data Analysis, Titanic Survival Prediction
This project aims to predict the survival of passengers aboard the Titanic using the Naive Bayes classifier algorithm. The dataset used in this project contains information about Titanic passengers, such as their age, gender, passenger class, and other relevant features.
Titanic Survival Exploration with Decision Tree
Exploring data sets from Kaggle administrator and sharing my codes with public groups
Machine Learning from Titanic Disaster
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