model to predict the survival in the Titanic disaster, with 98.8 accuracy.
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Updated
Oct 29, 2020 - Jupyter Notebook
model to predict the survival in the Titanic disaster, with 98.8 accuracy.
Detailed Exploratory Data Analysis (EDA) of the Titanic dataset.
Data Analysis and Visualization on Titanic Disaster dataset
Use to machine learning to create model that predict a a which passenger survived the titanic shipwreck
Kaggle Competition. Using available data set provide analysis of the Titanic disaster.
Predict the survival rate and Chances get Survived on Titanic using Machine learning.
TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models.
Exploratory Data Analysis on Titanic Survivor Dataset provided by Kaggle.
Titanic-Disaster is a machine learning Project developed to predict that which passenger will survive the disaster
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150…
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