𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐛𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 𝐚𝐧𝐝 𝐜𝐨𝐧𝐭𝐞𝐱𝐭

Space X advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, and 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. The project aims to create a machine-learning pipeline to predict if the first stage will land successfully.

𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐈'𝐦 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞 𝐚𝐬 𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭:What factors determine if the rocket will land successfully?Determine the interaction among various features that determine the success rate of a successful landing?What operating conditions need to be in place to ensure a successful landing program?Skills: Microsoft Office · Scikit-Learn · Microsoft Azure · PyTorch · Machine Learning · Google Cloud Platform (GCP) · A/B Testing · agile development and scrum · NLTK · TensorFlow · Microservices · Generative AI · Project Management · Statistics · Amazon Web Services (AWS) · Python (Programming Language) · Pandas (Software) · Business Development · Jira · Digital Marketing · DevOps · Software Development · Plotly · Extract, Transform, Load (ETL) · Google BigQuery · Product Management · MySQL · User Experience (UX) · Data Analytics · Artificial Intelligence (AI)