IBM DATA SCIENCE SPECIALIZATION CAPSTONE PROJECT

Overview

This is the final capstone project for IBM Data Science Specialization cousre which was about Space X case study. Spcae X planned to launch Falcon 9 as a cheaper alternative for space related transportation due to its reusability. Thus this project aimed to predict the success rate of Falcon 9 landing and study the factors that may affect the process

Execution

This project methodology includes:

Discussion Highlights

Dashboard Highlights

The dashboard was developed using Dash libraries and this gives us more focused insight on the Falcon 9 data. As seen below we can observe the relationship between the payload with the success rate

Prediction

Several machine learning model were tested to see which one of them performs the best in prediction the success rate. Based on the figure below, It is observe that for Decision Tree, despite it scores low on test data, but the accuracy on the training set was significatly higher than the other models

GitHub Link

https://github.com/amaro98/IBM_DataScience/tree/main/Applied%20Data%20Science%20Capstone%20Project