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 Space X 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 space X for a rocket launch.
This project aims to create a machine learning pipeline to predict if the first stage will land succesfully.
- Exploratory Data Analysis
- Data Visualization
- Data preprocessing
- Machine Learning
- Classification models (Logistic Regression, Support Vector Machine, Decision Trees, K Nearest Neighbors)
- Model Evaluation
- Python
- Pandas, Numpy
- Matplotlib, Seaborn
- Scikit-Learn
- Jupyter Notebook