Explore Titanic survival data by implementing a decision tree in sci-kit-learn
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Updated
Jul 21, 2018 - Jupyter Notebook
Explore Titanic survival data by implementing a decision tree in sci-kit-learn
Prediction of Survivors from titanic data set.
This Repository contains the Titanic Survival Project created by using Logistic Regression in Machine Learning.
Detailed Exploratory Data Analysis (EDA) 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)
In this code we will predict survived for the tragic accident Titanic. It's a Kaggle competition.
Udacity - Machine Learning Engineer Nanodegree Project - Titanic Survival Exploration
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.
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.
Predict the survival rate and Chances get Survived on Titanic using Machine learning.
Analyze the Titanic dataset to extract meaningful results.
TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models.
LITG project
Investigating Titanic Dataset as MLFND Project
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