Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.

A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , 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 scripts.

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 huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

Resources for teaching & learning practical data visualization with python.

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

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

Creative coding scripts and outputs using vanilla matplotlib

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

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

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.

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

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

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

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

ADHD subtypes classification project with 3 different datatypes

image-processing exercises.

This repository contains code for collecting pose data of various yoga poses using the MediaPipe Pose model. The collected data includes the angles of different body joints in each yoga pose.

To generate graph on online status for users in contact

🐍 Materiály, Zdrojové Kódy, Prezentácie ku kurzom Python, OOP, R, BI, Data Science, AI/ML, ChatGPT

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.

This repository is meant to store the code examples used in articles posted on www.insidelearningmachines.com. Each article on the website will have an associated jupyter notebook here with the same name.

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NumPy fundamentals for tensor computation; Matplotlib for data visualization

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

Comprehensive Python Plotly tutorial & cheat sheet. Covers plotly.express, graph_objects & figure_factory for Data Science, 3D plotting, Maps, and ML visualization.

Data cleaning, analysis and visualization of Paris metro traffic (Python, Pandas, Matplotlib, iPyLeaflet, Kepler.gl).

Tool to run tegrastats and parse the obtained log file to extract useful data into a csv. It also allows for automated graph creation between values desired from the data parsed.

The objective of this GitHub repository is to develop code that can effectively display well log parameter plots and their animations.

This Python project's goal is to model the collision of multiple galaxies through the use of an optimized N-Body problem engine.