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).

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.

Introduction to Machine Learning Group Project

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.

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

A Demo App Using NextJS + Flask

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.

Beginner friendly data analysis and prediction of survivors using machine learning.

A repository for the Kaggle Challenge- assignment 2 of team 2 of research methods module at the University of Hertfordshire, UK.

Deep Learning. My submission to the Spaceship Titanic competition on Kaggle using Artificial Neural Networks with Keras.