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, 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.
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Request to the SpaceX API
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Clean the requested data
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Extract a Falcon 9 launch records HTML table from Wikipedia
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Parse the table and convert it into a Pandas data frame
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Perform exploratory Data Analysis and determine Training Labels
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Understand the Spacex DataSet
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Load the dataset into the corresponding table in a Db2 database
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Execute SQL queries to answer assignment questions
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Preparing Data Feature Engineering
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Mark all launch sites on a map with Folium
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Mark the success/failed launches for each site on the map
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Calculate the distances between a launch site to its proximities
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We use an Interactive Visual Analytics with Plotly
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Create a column for the class
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Standardize the data
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Split into training data and test data
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Find best Hyperparameter for SVM, Classification Trees and Logistic Regression
