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
Titanic Survival Prediction using Logistic Regression
Solution to the titanic machine learning competition on kaggle
Prediction of Survivors from titanic data set.
A web app that predicts passenger survival on the Titanic using machine learning algorithms
This Repository contains the Titanic Survival Project created by using Logistic Regression in Machine Learning.
Detailed Exploratory Data Analysis (EDA) of the Titanic dataset.
Visualization of the Titanic DataSet
Analysis of what sorts of people were likely to survive the titanic disaster.
Prediction of survival onboard the Titanic (Titanic dataset) using Machine Learning (Python)
This short project take the Titanic Survival Data Set and Analyze it.
Udacity - Machine Learning Engineer Nanodegree Project - Titanic Survival Exploration
Maximum entropy (MaxEnt) classifier
Kaggle Competition - Titanic: Machine Learning from Disaster (Top 8%)
This repository shows the Passenger Survival Prediction of titanic dataset.
In this repository, I uploaded all the projects/tasks in Data science Internship at Bharat Intern.
🚢 Association and Pattern Recognition Algorithms on data from Titanic survivors.
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.
Add a description, image, and links to the titanic-survival topic page so that developers can more easily learn about it.
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