{"id":17698704,"url":"https://github.com/soumyaco/spaceship-titanic","last_synced_at":"2026-04-28T23:31:24.739Z","repository":{"id":189196068,"uuid":"680231159","full_name":"SoumyaCO/Spaceship-Titanic","owner":"SoumyaCO","description":"Famous Kaggle competition solution notebook with step by step guide.","archived":false,"fork":false,"pushed_at":"2023-08-20T16:07:09.000Z","size":2570,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-05T03:13:29.036Z","etag":null,"topics":["data-analysis-python","data-science","kaggle-competition","machine-learning","python3","spaceship-titanic"],"latest_commit_sha":null,"homepage":"https://www.kaggle.com/code/soumyadipbhat/spaceship-titanic-solved-notebook-detailed","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SoumyaCO.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-08-18T17:02:22.000Z","updated_at":"2023-10-14T08:23:19.000Z","dependencies_parsed_at":"2024-10-24T17:54:47.403Z","dependency_job_id":"d6d24209-8cf1-4b19-87f2-020dbb3f7abe","html_url":"https://github.com/SoumyaCO/Spaceship-Titanic","commit_stats":null,"previous_names":["soumyaco/spaceship-titanic"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SoumyaCO/Spaceship-Titanic","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoumyaCO%2FSpaceship-Titanic","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoumyaCO%2FSpaceship-Titanic/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoumyaCO%2FSpaceship-Titanic/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoumyaCO%2FSpaceship-Titanic/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SoumyaCO","download_url":"https://codeload.github.com/SoumyaCO/Spaceship-Titanic/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SoumyaCO%2FSpaceship-Titanic/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32404340,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T19:38:08.556Z","status":"ssl_error","status_checked_at":"2026-04-28T19:37:55.688Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis-python","data-science","kaggle-competition","machine-learning","python3","spaceship-titanic"],"created_at":"2024-10-24T15:10:46.500Z","updated_at":"2026-04-28T23:31:24.723Z","avatar_url":"https://github.com/SoumyaCO.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Spaceship-Titanic Kaggle Competition Notebook\n\n## Famous Kaggle Competition Solution Notebook with step by step guide\n\nThis repository contains the solved notebook of the competition.\nThis will help beginners to understand the workflow of a machine learning problem.\nMachine Learning is not just about learning the algorithms, It consists of some crucial steps.\n\u003e * Data Preparation\n\u003e * Data Scaling\n\u003e * Dimensionality Reduction\n\u003e * Model choosing\n\u003e * Training and Testing Model\n\u003e * Hyperparamter tuning [*Grid Search*, *Random Search*]\n\u003e * Evaluation [`confusion_matix`, `F1_score`, `precision`]\n\u003e * Deployment [out of the scope of this repository]\n\n### Problem Description\nYou can Read the whole problem description in kaggle : [Kaggle|Spaceship Titanic Competition](https://www.kaggle.com/competitions/spaceship-titanic/overview)\nThere are features [passenger details], we have to predict whether a passenger has transported or not.\nBasically this is a binary classification problem which needs advance feature engineering skills.\n\n**🥊 Challenges:**\n* Have Categorical data which affect the performance if we just `LabelEncode()`it.\n* Variance of the features are very uneven. Scaling the data is very necessary.\n* Irrelivant columns of data like `PassengerId` have to be removed.\n* Other Challenges: Intermediate to advance feature engineering skills needed\n\n### Edit and Experiment with the Notebook\n👉 Click on the notebook `spaceship-titanic.ipynb` and click on the `open in kaggle` button.\n👉 Or if you want to open it in google colab, Click on the `open in colab` button on top of the notebook or on top of this README file.\n\n### ❗️Warning\nWhen opening in colab, dataset have to be downloaded and uploaded on google colab manually.\n\n### 🏅 Welcome Contributors\n* Found a mistake?\n* Improved Accuracy of the model?\n* Any suggestion related to the notebook or the workflow\n* Or any other types of contribution will be appriciated.\n\n👉 In the notebook I've provided detailed codes and concepts. If you like it please give a star ⭐️\n\n🧑🏻‍💻 My Profiles:\n\u003e * [🔗 LinkedIn](https://www.linkedin.com/in/soumyadip-bhattacharjya-993974234/)\n\u003e * [🔗 Kaggle](https://www.kaggle.com/soumyadipbhat)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumyaco%2Fspaceship-titanic","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoumyaco%2Fspaceship-titanic","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumyaco%2Fspaceship-titanic/lists"}