This is my first Data Science Nanodegree program project

1. categories.csv
2. messages.csv
3. ETL Pipeline Preparation.ipynb
4. Disaster_Response_Database.db
5. ML Pipeline Preparation.ipynb
6. workspace folder

You need to install the following libraries,

1. NLTK
2. Numpy
3. Pandas
4. sklearn
5. matplotlib

In the project, we will find a data set containing real messages that were sent during disaster events. I have created a machine learning pipeline to categorize these events so that you can send the messages to an appropriate disaster relief agency. This project includes a web app where an emergency worker can input a new message and get classification results in several categories. The web app will also display visualizations of the data.

Readme.md : description of the repository

messages.csv : contains the messaged id and respective messages.

categories.csv : contains the messaged id and categories of the messages.

ETL Pipeline Preparation.ipynb : This file Extract, Transform and load the cleaned data.

Disaster_Response_Database.db : This is the database where the cleaned data is stored.

ML Pipeline Preparation.ipynb : In this file we develop and test different machine learning algorithm for classifying those messages into the multi label categories.

workspace folder : It contains the web app version of the code