Detection of craters on planetary surface is very crucial for the better understanding of planet topography. It is also important for the selection of landing sites of various lander mission, path planning for rover missions. This project is about application of deep learning method for detection and semantic segmentation of craters in an image.
Analyzing Interplanetary Magnetic Field (IMF) data from OMNI. in 2017
Examining Calculus Topics in Python Language
Files for SWMF inputs and plotting codes used to visualize outputs.
This repository contains my capstone project for the IBM Data Science and Machine Learning Professional Certificate program. The project showcases my skills in data science and machine learning, including data collection, preprocessing, analysis, and modelling. The goal of the project is to solve a real-world problem using data-driven techniques.
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