RadhikaBailurkar/Titanic-Machine-Learning-from-Disaster

Kaggle Machine Learning Competition

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Aiza-D/EDA-of-Titanic.csv-

Detailed Exploratory Data Analysis (EDA) of the Titanic dataset.

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franklaercio/titanic_machine_learning

In this code we will predict survived for the tragic accident Titanic. It's a Kaggle competition.

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ISAIAH-Git/Titanic-Machine-Learning-from-Disaster

END TO END MACHINE LEARNING MODEL BUILDING

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marcpaulo15/titanic_streamlit

TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models.

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SUDIPA9002/ASIP

Data Science internship at Asterisc Technocrat Pvt. Ltd. Task - Billioniaire Analysis, Covid - 19 Data Analysis, Titanic Survival Prediction

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tamanna18/Titanic-Survival-prediction

Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female

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keivanipchihagh/Titanic-Machine-Learning-from-disaster 📦

Predict who is likely to have survived in the titanic crash given his/her information

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Nitin-Diwakar/Titanic-kaggle-Competition

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SoundaryaMiranam/Survival_prediction_Titanic-disaster

Data analysis and Machine learning on titanic data

Language: Python - Size: 44.9 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

Eben2020-hp/Titanic-Machine-Learning

How to perform an exploratory data analysis on the Kaggle Titanic dataset.

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Rishikeshrajrxl/Titanic-Machine-Learning-from-Disaster

Start here! Predict survival on the Titanic and get familiar with ML basics.This is the legendary Titanic ML competition – the best, first challenge for you to dive into ML competitions and familiarize yourself with how the Kaggle platform works.

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ozlemkorpe/Titanic-Machine-Learning-from-Disaster-MATLAB

The goal of this project is predicting the survival of passengers based on a set of data. Necessary data is retrieved from Kaggle competition "Titanic: Machine Learning from Disaster".

Language: MATLAB - Size: 511 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0