Jupyter Notebooks documenting the use of 3RWW and related data services

NYU Core UA 107 lecture demonstration notes

Accompanying notebook for Data Konferences Feb. 2018 (Madrid)

My Notebook for BRI Financial Data Challenge 2022 submission where I achieved 6th place in the event. The notebook is written in bahasa Indonesia.

Repository for sharing data science notebooks and materials with network connections on LinkedIn

Implementation of an energy model using jupyter notebook ready to be presented in slides!

Using this notebook we can learn simple SCIKIT-LEARN for Data science and Machine learning

This notebook is mostly focused on Beginners Learning for simple machine learning concepts and how to apply them into real world problems.

Programs developed for the class of Computational Physics (FIS2018-FCUP), based on the book "Computational Physics" by Mark Newman, using Python (Jupyter Notebook)

This repository contains finalized and working Jupyter Notebook files that encapsulate most of my work as an Analytics Intern with Stellar Solutions working for Space Systems Command.

In this repo you shall find the jupyter notebooks of the different phases of the project for Introduction to Data Science course I took in Fall 2022 quarter at Seattle University.

The notebook demonstrates the workflow for obtaining pore size distribution from binarized micro-CT images. The general principle involves identifying each pore, estimating the volume of each pore, and ultimately determining the radius of a sphere with an equivalent volume of each pore.

These notebooks are my walk-through analysis, (including visualization, polynomial regression and more), of some data regarding the growth of squares to be able to solve the puzzle of counting all the squares you could see in a grid of any size.

A Jupyter Notebook project for real-time population data visualization and trend prediction. Fetches live global population data, creates insightful visualizations, and employs models for trend forecasting. Finds valuable insights into demographic patterns and explores the changing face of Earth's population.

Determined which species of mosquito are most common, and which are most likely to carry WNV. Made dummies to reflect whether trap data corresponded to one of the chief carrier mosquitos, and whether trap data collected from a particular street. Obtained total pricipation data, and average temperature data for the 14 days prior to the date of ea…

S2S-Future DragonStone training program materials (Jupyter notebooks)

Jupyter notebook script with a two parameter monthly water balance model, based on (Xiong,1994)

CellOrganizer on Jupyter Notebook

Cognitive Class Lab Notebooks