Make many plots from an iterable

This repository is a hub for data science enthusiasts, offering a diverse collection of projects, notebooks, and resources covering topics such as data analysis, machine learning, deep learning, and generative AI. Explore innovative ideas, contribute to cutting-edge research, and enhance your skills in the dynamic field of data science

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

Highcharts meets Python in your jupyter notebook

GUI tools to help the user construct Pandas expressions such as a new calculated column, plots or fits. The tools are meant to run in an interactive Jupyter notebook. All tools are based on Jupyter widgets.

A Collab Notebook for training a single-layer neural network for linear regression.

Plot library for Pluto notebooks based on plotly.js for 1D data and vtk.js (thus using WebGL) for 2/3D data.

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

My notes in Jupyter Notebooks for statistics, probability, and plotting applied with major python libraries as an introduction to machine learning.

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

Embed visualizations and code from Observable notebooks in Jupyter

This is an example of how to use Python and Jupyter Notebook to explore a given dataset.

Goals: Import CSV files to Jupyter Notebook and clean data using Python, use Matplotlib to generate charts depicting data.

Tools for making JupyterPhysSciLab notebook templates for student handouts

This repository contains pre-requisite notebooks of Data Visualization course from kaggle for my internship as a Machine Learning Application Developer at Technocolabs.

Create a real-world dataset using MatPlotLib and Jupyter Notebook to determine which medical testing works the most effective on mice.

[Deep Learning, Machine Learning, Data Visualization] Two Jupiter Notebooks created to showcase different ML and explainability libraries.

Jupyter Notebook showing how to plot FES, histograms and time-series data using Matplotlib.

Cross-platform tool that monitors time spent in different applications

Plotting library for Jupyter Notebook in a sketchy look, from p5.scribble.js