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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 Dec 25, 2019
  • Jupyter Notebook

S.C.A.R.L.E.T (Sorta Crappy Assistant Robot Lazily Engineered Today) To be honest making up that acronym was easier than making this virtual assistant.'She' obeys some of the following commands:search + (what you want to search for),email-opens Gmail.What time is it?What date is it?Youtube-opens Youtube,shut down,Scarlet (check for responsiveness).This virtual assistant is very far from perfect but I hope to improve it as I continue to learn the deeper workings of the Python programming language. I could use some help with her later versions..

  • Updated May 26, 2019
  • Python

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 11, 2017
  • Python

This repository contains my work while completing the specialization created by University of Michigan on Coursera. This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

  • Updated Dec 24, 2017
  • Python

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