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python-programming-language

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Data-Science-Portfolio

Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks, and Python files in corresponding modules .

  • Updated May 26, 2022
  • Jupyter Notebook

This repository contains my work while completing the specialization created by University of Michigan on Coursera. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

  • Updated Apr 4, 2017
  • Jupyter Notebook

This project performs a 3D reconstruction of a cylindrical asphalt mixture sample from a set images on a Dicom file format. The components of asphalt mixture will be identified through 3-phase segmentation. Additionally, a 3D model of the asphalt mixture reconstruction was developed. The project was implemented on the Python programming language using the open-source libraries Numpy, Scipy, Pydicom, Scikit-learn, Matplotlib and Mayavi. A simulation of the asphalt mixtures aging process is implemented using numerical methods on the mechanical, themical and chemical fields.

  • Updated Dec 12, 2017
  • Python

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