SPACEX FALCON 9 LANDING OUTCOME PREDICTION
Sorry for the late post! The reason is I was working to earn a certification. I was obliged to do a real time project in order to earn it. So, I embarked on a journey to predict Falcon 9’s landing outcomes!
in order to gain understanding of the factors that contribute to the success or failure of Falcon 9 landings, I recently undertook a fascinating investigation of SpaceX's rocket landing data. I explored the intriguing field of exploratory data analysis (EDA) by utilizing the capabilities of Python and other data science packages.
With the help of Beautiful Soup, I started our trip by gathering real-time data from SpaceX's Ibsite through Ib scraping techniques. After obtaining the data, I utilized the Pandas package to organize and modify the dataset, facilitating easy analysis. The dataset included a number of characteristics, such as landing results, cargo masses, and launch sites.
I next started displaying the data using Matplotlib and Seaborn, making informative plots like scatter plots, bar charts, and line plots. I managed to understand feature distribution, spot trends across time, and investigate correlations between variables thanks to these visualizations.
I carried out extensive analysis, determining significant milestones like the first successful ground landing date, and computing total payload masses and average payload masses per rocket version in order to obtain deeper insights. Furthermore, I determined which boosters were carrying the largest payload and ranked the number of successful landings during particular time periods.
After extensive research, I determined that the Random Forest Classifier was the best model to use in order to forecast the outcome of the Falcon 9 landing, with an astounding 89% accuracy rate. This model, which was trained with Scikit-learn, improved SpaceX's rocket recovery operations by providing insightful information on mission planning and execution.
To sum up, my project demonstrated the ability of data exploration to decipher complex events and offer useful insights for practical applications. By means of the efficient application of Python libraries and methodical examination, I am extremely delighted to share that I succeeded in discovering significant patterns and tendencies in SpaceX's rocket landing information.
I have attached the link to my project. If you guys have some time, please take a look! - https://github.com/Bloodysweet-Leo/Falcon9-Landing-Outcomes
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