IBM Applied Data Science Capstone SpaceX - Falcon 9

The capstone project is about predicting if SpaceX's Falcon 9 rockets will land successfully in the first stage. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. - IBM

Course: IBM - Applied Data Science Capstone

Notebooks: Link to the notebooks

Machine Learning Notebook: SpaceX Machine Learning Prediction

Falcon.9._.Overview.mp4

Source: SpaceX - Falcon 9 | Overview

Activities:

• Data collection through an API
• Webscraping using Beautiful Soup
• Data Wrangling with Pandas
• Analyzing the data using SQLITE
• EDA using matplotlib and seaborn for visualizing hidden patterns.
• Predictive modeling using four(4) different machine learning algorithms
  • Logistic Regression
  • Support Vector Machine
  • Decision Tree Algorithm
  • K Nearest Neighbour
  • GridSearchCV

Results: All findings have been summarised in the Final pdf presentation

Verifiable course: Credly completion achievement