Welcome to some case study of data science projects - (Personal Projects).

Introduction to Machine Learning Group Project

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).

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.

Famous Kaggle competition solution notebook with step by step guide.

kaggle/getting started/spaceship-titanic に対する私の取り組みを説明します．（開発中）

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.

Competing in the kaggle spaceship titanic challenge.

Score: 0.79635 - Submissions to Spaceship Titanic Kaggle competition

The Spaceship Titanic Project done using some Machine Learning Algorithm as well.