-
Let's Talk Python: How to Explore Any Dataset in Python
Online Presentations | 05 Jun 2023 | Contributor(s):: Trinity Chung, The Micro Nano Technology - Education Center
This workshop will guide you through how to explore any dataset using Python and the pandas library. This is an ideal place to learn if you are interested in being a scientist/engineer/analyst who often works with data.
-
Pilling-Bedworth Ratio Calculator
Tools | 15 Apr 2022 | Contributor(s):: Zachary D McClure, Alejandro Strachan
Query unit cell structures from the Materials Project and calculate Pilling-Bedworth Ratio between metal and oxides
-
Bayesian optimization tutorial using Jupyter notebook
Tools | 11 Jun 2021 | Contributor(s):: Hieu Doan, Garvit Agarwal
Active learning via Bayesian optimization for materials discovery
-
Module 5: Neural Networks for Regression and Classification
Online Presentations | 01 Oct 2020 | Contributor(s):: Saaketh Desai, Alejandro Strachan
This module introduces neural networks for material science and engineering with hands-on online simulations. Neural networks are a subset of machine learning models used to learn mappings between inputs and outputs for a given dataset. Neural networks offer great flexibility and have shown...
-
Module 2: Querying Materials Data Repositories
Online Presentations | 30 Sep 2020 | Contributor(s):: Zachary D McClure, Alejandro Strachan
This module introduces modern tools for data acquisition, including performing large queries using application programming interfaces (APIs), with hands-on online workflows. Cyber-infrastructure platforms for data offer unparalleled access to data, this module will introduce tools to manage,...
-
sayedul islam
https://nanohub.org/members/301108
-
Introduction to Jupyter Notebooks, Data Organization and Plotting (1st offering)
Online Presentations | 21 Apr 2020 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan
This tutorial gives an introductory demonstration of how to create and use Jupyter notebooks. It showcases the libraries Pandas to manipulate and organize data with functionalities similar to those of Excel on python, and Plotly, a library used to create interactive plots for enhanced...
-
Introduction to Jupyter Notebooks, Data Organization and Plotting (2nd offering)
Online Presentations | 21 Apr 2020 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan
This tutorial gives an introductory demonstration of how to create and use Jupyter notebooks. It showcases the libraries Pandas to manipulate and organize data with functionalities similar to those of Excel on python, and Plotly, a library used to create interactive plots for enhanced...
-
Apr 09 2020
Intro to Jupyter in nanoHUB, Pandas for data organization and plotting
Topics covered in this session:Using Jupyter notebooks on nanoHUBOrganizing data using Pandas and simple plotting with PlotlyOrganizers: Alejandro Strachan, Saaketh DesaiLeader: Juan Carlos...
https://nanohub.org/events/details/1847
-
Apr 08 2020
Intro to Jupyter in nanoHUB, Pandas for data organization and plotting
Topics covered in this session:Using Jupyter notebooks on nanoHUBOrganizing data using Pandas and simple plotting with PlotlyOrganizers: Alejandro Strachan, Saaketh DesaiLeader: Juan Carlos...
https://nanohub.org/events/details/1840
-
Data Science and Machine Learning for MSE Students: introduction and Hands-on Activities
Teaching Materials | 10 Sep 2019 | Contributor(s):: Alejandro Strachan, Juan Carlos Verduzco Gastelum, Saaketh Desai
This document introduces basic concepts of data science and machine learning in the context of materials science applications. The focus is on hands-on activities where readers use open, online tools in nanoHUB to explore the concepts being introduced. Topics covered include querying data...