In this capstone, we will predict if the Falcon 9 first stage will land successfully. 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. In this module, you will be provided with an overview of the problem and the tools you need to complete the course. Learning Objectives: Write Python code to manipulate data in a Pandas data frame Convert a JSON file into a Create a Python Pandas data frame by converting a JSON file Create a Jupyter notebook and make it sharable using GitHub Use data science methodologies to define and formulate a real-world business problem. Use your data analysis tools to load a dataset, clean it, and find out interesting insights from it.
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 you can accurately predict the likelihood of the first stage rocket landing successfully, you can determine the cost of a launch. With the help of your Data Science findings and models, the competing startup you have been hired by can make more informed bids against SpaceX for a rocket launch.
- To apply data science toolkit and machine learning in order to accurately predict the likelihood of the first stage rocket landing successfully, and thus determine the cost of a launch.
- Explore the data in order to obtain more insight from the data.
Classification accuracy - number of correct prediction divided by the total number of prediction defined as:
- Accurate predictive algorithms
- Make a report of final results and insights for stakeholders