A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync script. watch-app…

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

Resources for teaching & learning practical data visualization with python.

To visualize function call flow for a C/C++ program using gdb and python

Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.

Creative coding scripts and outputs using vanilla matplotlib

Example of a way of bringing the Python 3 matplotlib.pyplot.fill_between function to 3D plots.

In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.

Kickstart AI through Machine Learning and Deep Learning Projects (20+)

This repository contains jupyter notebook and other resources made by me during learning Data Science

Image processing examples with Numpy, Scipy, and Scikit-image

Como obter os dados históricos e analisar ações da bolsa utilizando o Pandas

image-processing exercises.

To generate graph on online status for users in contact

ADHD subtypes classification project with 3 different datatypes

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

NumPy fundamentals for tensor computation; Matplotlib for data visualization

Plotly tutorial in Python - Graphing library

🐍 Materiály, Zdrojové Kódy, Prezentácie ku kurzom SAV Python, OOP, R, BI, Data Science