Welcome to some case study of data science projects - (Personal Projects).
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Updated
Jan 15, 2025 - Jupyter Notebook
Welcome to some case study of data science projects - (Personal Projects).
Predicting passengers transported to an alternate dimension on Spaceship Titanic. Achieved a 0.80 score, ranking top 28% among 2062 teams (https://www.kaggle.com/code/amirfares/spaceship-titanic-weighted-ensemble).
Famous Kaggle competition solution notebook with step by step guide.
The machine learning model is trained utilizing the LightGBM algorithm based on the "Spaceship Titanic" dataset.
The task is to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly. To help us make these predictions, we are given a set of personal records recovered from the ship's damaged computer system.
Introduction to Machine Learning Group Project
A Demo App Using NextJS + Flask
Welcome to my GitHub repository! Here, you will find my solutions and code for various Kaggle competitions that I have participated in. As a current expert in Kaggle, I have worked extensively on multiple competitions, utilizing advanced techniques in data analysis, machine learning, and deep learning to achieve competitive results.
A machine learning project to predict whether passengers were transported to an alternate dimension in the Spaceship Titanic dataset. It involves data cleaning, model training with LGBM and XGBoost, and model performance comparison.
Spaceship titanic kaggle project
A repository for the Kaggle Challenge- assignment 2 of team 2 of research methods module at the University of Hertfordshire, UK.
Competing in the kaggle spaceship titanic challenge.
This repository contains my solution for the Spaceship Titanic Kaggle competition. The objective is to predict which passengers were transported to an alternate dimension using machine learning models.
Deep Learning. My submission to the Spaceship Titanic competition on Kaggle using Artificial Neural Networks with Keras.
Beginner friendly data analysis and prediction of survivors using machine learning.
The Spaceship Titanic Project done using some Machine Learning Algorithm as well.
Score: 0.79635 - Submissions to Spaceship Titanic Kaggle competition
kaggle/getting started/spaceship-titanic に対する私の取り組みを説明します.(開発中)
Spaceship Titanic project.
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