Applying Machine Learning Algorithms to the Kaggle "Titanic Survival Prediction Problem".

kaggle machine learning with spark

Testing different ML models on famous Titanic dataset from kaggle. (100% accuracy)

This repository consists of all different algorithms I applied on the various Datasets. This repository consists of simple python code for working on common datasets.

Introduction to AI and ML Course Project @NanyangTechnologicalUniversity

The Deep Learning exercises provided in DataCamp

This repository contains the code, data set and output of a simple beginner's project on Kaggle. It uses simple Logistic Regression.

Titanic survivors analysis

Solving Titanic problem using TensorFlow Estimators

The famous Titanic survival kaggle challenge.

I made a simple neural net model with three hidden layers using tensorflow to work on the titanic dataset. The accuracy of the model is lower than RandomForrestClassifier and KernelSVM Classifier but I just performed neural net analysis for educational purposes.

Welcome to the Titanic Dataset Analysis repository! This project leverages the Titanic dataset from Kaggle to explore and visualize various factors that influenced passenger survival rates during the tragic sinking Titanic.

different analysis of titanic accident (data from kaggle)

Machine Learning projects and tests

Predicts Titanic passenger survival using machine learning (Logistic Regression, Decision Tree, and Random Forest). Analyzes factors like age, gender, and fare to identify key predictors.

Discovering useful features in the Kaggle dataset about Titanic survivors

i have tried to solve some common data science problems

Interactive Titanic survival prediction project using machine learning models with an advanced Streamlit-based UI