Build plots based on data provided by World Bank using Jupiter Notebook and ipywidgets package.

Cross-platform tool that monitors time spent in different applications

In this repository, I work with a Jupyter notebook that highlights some of the key plots in Seaborn library to get started with.

A Jupyter notebook where I play with my Goodreads data

Communicating data using Python in a Jupyter notebook

Example notebook for "Visualising Patterns in Time-Series Data: 2D Overlay Plots" on medium

Simple project to implement Natural Partitioning using on 3-4-5 Rule. You can also generate the final tree using this notebook.

An analysis and visualization of weather data in a website using HTML, Bootstrap, CSS, and Jupyter Notebook. The specific weather data is used to analyze how weather changes as we get closer to the equator.

This repository contains one of the pre-requisite notebooks for my internship as a Data Analyst at Technocolabs. It includes some of the micro-courses from Kaggle.

A simple Jupyter notebook to visualize the results of RL experiments stored in Tensorboard log files with Matplotlib.

Practising Machine Learning. This repository is created for personal use where I can bookmark and keep all my notebooks, notes, bookmarked links, etc. Anyone who is a beginner in ML can refer to it and feel free to fork or open issues.

EDA of COVID-19 dataset and building ML models

Jupyter Notebook extension for SigPlot.js

Go-Notebook is inspired by Jupyter Project (link) in order to document Golang code.

This Jupyter notebook demonstrates how to properly plot uncertainty (confidence) ellipses for 2D normally distributed data.

I’ll be creating two financial analysis tools with a single Jupyter notebook: A financial planner for emergencies and retirement.

[Python] A module, notebook, and sample application for predicting the outcome of a battle using Lanchester's differential equations. The module can forecast results using three different models: the linear law, the square law, and a modernized model.

[Python] A Jupyter notebook illustrating methods for analyzing a historical lottery results dataset. The example demonstrates assessing linear relationships between variables, incorporating astronomical data, and visualizing number distributions.

Notebooks supporting investigations in U.S. healthcare data.