IBM Data Science Capstone Project - SpaceX

Introduction

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.

This capstone project course will give you a taste of what data scientists go through in real life when working with real datasets. You will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders. You are tasked with predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully.

1️⃣ Week 1 : Data Collection and Wrangling

• Collecting the Data via API
• Collecting the Data via Web Scraping
• Data Wrangling

2️⃣ Week 2 : Exploratory Data Analysis (EDA)

• Exploratory Analysis Using SQL
• Exploratory Analysis Using Pandas and Matplotlib

3️⃣ Week 3 : Interactive Visual Analytics and Dashboard

• Interactive Visual Analytics with Folium
• Extracting and Visualizing Stock Data
• Analyse Plots

4️⃣ Week 4 : Predictive Analysis (Classification)

• Machine Learning Prediction

5️⃣ Week 5 : Present Your Data-Driven Insights

• Present Your Data-Driven Insights with Presentation

Business Problem

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.

Objective

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.

⛏️ Built With

• Python - Programming Language
• IBM Watson Studio - IBM’s software platform for data science
• IBM Db2 - Db2 is a family of data management products, including database servers, developed by IBM
• Jupyter Notebooks - Open-source web application that allows data scientists to create and share documents that integrate live code, equations, computational output, visualizations, and other multimedia resources.
• Anaconda - Local environment for practice
• pythonanywhere.com - Host your Python App via Flask
• plotly.com - Plotly stewards Python's leading data viz and UI libraries. With Dash Open Source, Dash apps run on your local laptop or server
• IBM Cognos Dashboard - IBM Cognos Analytics provides dashboards and stories to communicate your insights and analysis. You can assemble a view that contains visualizations such as a graph, chart, plot, table, map, or any other visual representation of data.
• GitHub - Repository for storing all files

Business metric

Classification accuracy - number of correct prediction divided by the total number of prediction defined as: $$Accuracy = \frac{TP+TN}{TP+FP+TN+FN}$$

Deliverables

• Accurate predictive algorithms
• Business case report to stakeholders

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