Deploying Machine Learning models for SpaceY who wants to bid against SpaceX

Prajwal Kumar

Prajwal Kumar

Greater Noida, Uttar Pradesh

0 0
  • 0 Collaborators

In this, we deployed different ML models for a company SpaceY that wants to bid against SpaceX. We have collected data regarding successful landings of SpaceX from SpaceX's public API and Wikipedia page. Then we have produces 4 ML models, which produced similar results of accuracy of about 83.33%. ...learn more

Project status: Concept

Artificial Intelligence

Intel Technologies
Optane, 10th Gen Intel® Core™ Processors, Intel powered desktop PC, Intel CPU

Docs/PDFs [1]Code Samples [1]Links [1]

Overview / Usage

The age of Commercial Space travel is here. Space X has the best pricing which is $62millions. Nasa spends $165 million USD on average compared to $62 million from SpaceX.

SpaceX makes this happen Largely due to the ability to recover part of the rocket (Stage 1).

Space Y wants to compete with SpaceX, that's why Space Y tasks us to train a machine learning model to predict successful Stage1 recovery.

Methodology / Approach

  • Data collection methodology: Combined data from SpaceX public API and SpaceX Wikipedia page.

  • Performed data wrangling: Classifying true landings as successful and unsuccessful otherwise.

  • Performed exploratory data analysis (EDA) using visualization and SQL.

  • Performed interactive visual analytics using FoliumandPlotly Dash.

  • Performed predictive analysis using classification models: Tuned models using GridSearchCV

Technologies Used

  • Python
  • SQL
  • Folium
  • Plotly Dash
  • GridSearchCV
  • Logistic Regression, Support Vector Machine, Decision Tree Classifier, and K Nearest Neighbors.

Documents and Presentations

Repository

https://github.com/Prajwal111299/Deploying-Machine-Learning-models-for-SpaceY-who-wants-to-bid-against-SpaceX

Comments (0)