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https://github.com/himalayaashish/titanic

This project focuses on predicting the survival of passengers aboard the Titanic using a machine learning approach. The dataset used in this notebook is the famous Titanic dataset from Kaggle, which includes features like passenger class, sex, age, and fare, among others.
https://github.com/himalayaashish/titanic

classification data-science machine-learning

Last synced: over 1 year ago
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This project focuses on predicting the survival of passengers aboard the Titanic using a machine learning approach. The dataset used in this notebook is the famous Titanic dataset from Kaggle, which includes features like passenger class, sex, age, and fare, among others.

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README

          

## Hello World! wave

🚀 Welcome to my git repo :Titanic:

### Titanic
![GIF Title](https://i.giphy.com/media/v1.Y2lkPTc5MGI3NjExbW55NjRvaHMyenoyaW5rcGZpZ3VodDYzcndnZDN3YjF6NzNleWVmdSZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/OJw4CDbtu0jde/giphy.gif)

#### This is the legendary Titanic ML competition
###### The competition is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.

###### To know the best model with best parameter I have used gridsearchCV algorithmns and XGBoost has scored the best.
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### Languages and Tools

### Languages
**Python**:
![Python](https://img.shields.io/badge/-Python-black?style=flat&logo=python)
![Keras](https://img.shields.io/badge/-Keras-D00000?style=flat&logo=Keras)
![Tensorflow](https://img.shields.io/badge/-Tensorflow-gray?style=flat&logo=tensorflow)
![PyTorch](https://img.shields.io/badge/-PyTorch-EE4C2C?style=flat&logo=PyTorch&logoColor=white)
![Pandas](https://img.shields.io/badge/-Pandas-150458?style=flat&logo=Pandas)
![Numpy](https://img.shields.io/badge/-Numpy-lightgray?style=flat&logo=Numpy&logoColor=white)
![Scipy](https://img.shields.io/badge/-Scipy-blue?style=flat&logo=Scipy&logoColor=white)
![Matplotlib](https://img.shields.io/badge/-Matplotlib-black?style=flat&logo=Matplotlib&logoColor=white)

**JavaScript**:
![JavaScript](https://img.shields.io/badge/-JavaScript-black?style=flat&logo=javascript)
![HTML5](https://img.shields.io/badge/-HTML5-E34F26?style=flat&logo=html5&logoColor=white)
![CSS3](https://img.shields.io/badge/-CSS3-1572B6?style=flat&logo=css3)
![Bootstrap](https://img.shields.io/badge/-Bootstrap-purple?style=flat&logo=bootstrap)

**SQL:**
![SQL](https://img.shields.io/badge/-SQL-orange?style=flat&logo=sql)
![MySQL](https://img.shields.io/badge/-MySQL-lightgray?style=flat&logo=mysql)
![PostgreSQL](https://img.shields.io/badge/-PostgreSQL-blue?style=flat&logo=postgresql)

### Tools

**Software Development:**
![Pycharm IDE](https://img.shields.io/badge/PyCharm-000000?logo=PyCharm&logoColor=white)
![IntelliJ IDEA](https://img.shields.io/badge/-red?style=flat&logo=IntelliJ-IDEA&logoColor=white)
![Docker](https://img.shields.io/badge/-2496ED?style=flat&logo=Docker&logoColor=white)
![Jenkins](https://img.shields.io/badge/Jenkins-gray?style=flat&logo=jenkins)
![XML](https://img.shields.io/badge/-XML-orange?style=flat&logo=xml)
![JSON](https://img.shields.io/badge/-JSON-lightgray?style=flat&logo=json)
![Vim](https://img.shields.io/badge/-019733?style=flat&logo=Vim&logoColor=white)

**SDLC:**
![Agile](https://img.shields.io/badge/Agile-blue?style=flat&logo=Agile&logoColor=white) ![Scrum](https://img.shields.io/badge/Scrum-green?style=flat&logo=Scrum&logoColor=white) ![Kanban](https://img.shields.io/badge/Kanban-red?style=flat&logo=Kanban&logoColor=white)

**Software Engineering:**
[![Jira](https://img.shields.io/badge/-Jira-0052CC?style=flat&logo=jira&logoColor=white&link=https://github.com/Quananhle)](https://github.com/Quananhle)
[![Travis](https://img.shields.io/badge/-Travis-red?style=flat&logo=travis&logoColor=white&link=https://github.com/Quananhle)](https://github.com/Quananhle)

**Version Control:**
![Bitbucket](https://img.shields.io/badge/-Bitbucket-blue?style=flat&logo=bitbucket)
![Git](https://img.shields.io/badge/-Git-black?style=flat&logo=git)
![GitHub](https://img.shields.io/badge/-GitHub-181717?style=flat&logo=github)

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