matplotlib-pyplot
There are 3811 repositories under matplotlib-pyplot topic.
pageauc/speed-camera
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.
syamkakarla98/Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
milaan9/11_Python_Matplotlib_Module
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
pmaji/practical-python-data-viz-guide
Resources for teaching & learning practical data visualization with python.
tarun27sh/gdb_graphs
To visualize function call flow for a C/C++ program using gdb and python
ManuhIsMe/Product_Sales_Analysis_With_Python
In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.
sadielbartholomew/creative-matplotlib
Creative coding scripts and outputs using vanilla matplotlib
rojaAchary/Data-Visualization-with-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.
tanveer-kader/ml-projects-py
Kickstart AI through Machine Learning and Deep Learning Projects (20+)
artmenlope/matplotlib-fill_between-in-3D
Example of a way of bringing the Python 3 matplotlib.pyplot.fill_between function to 3D plots.
aliarslanansari/Data-Science-Study
This repository contains jupyter notebook and other resources made by me during learning Data Science
MYoussef885/House_Price_Prediction
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.
matheuscoradinimf/Analise-de-acoes-com-Python
Como obter os dados históricos e analisar ações da bolsa utilizando o Pandas
tirthajyoti/Scikit-image-processing
Image processing examples with Numpy, Scipy, and Scikit-image
brainhack-school2020/ADHDsubtypes_project
ADHD subtypes classification project with 3 different datatypes
BenyaminZojaji/image_processing
image-processing exercises.
shashwat001/whatsapp-web-graph
To generate graph on online status for users in contact
gran4/AI-InvestiBot
Innovative, high quality stock bot
MDSH14/Engezny
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.
miroslav-reiter/Kurzy_DataScience_Python_BI_AI_ML
🐍 Materiály, Zdrojové Kódy, Prezentácie ku kurzom Python, OOP, R, BI, Data Science, AI/ML, ChatGPT
Manoj-2702/Yoga_Poses-Dataset
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.
insidelearningmachines/Blog
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.
kmario23/Introduction-to-NumPy-Matplotlib-TensorFlow
NumPy fundamentals for tensor computation; Matplotlib for data visualization
antonin-lfv/Plotly_tutorial
Plotly tutorial in Python - Graphing library
esvs2202/Concrete-Compressive-Strength-Prediction
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.
fannykassapian/metro-traffic-data-analysis
Data cleaning, analysis and visualization of Paris metro traffic (Python, Pandas, Matplotlib, iPyLeaflet, Kepler.gl).
ssaraff98/tegrastats_parser
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.
EnguerranVidal/GalaxyCollision
This Python project's goal is to model the collision of multiple galaxies through the use of an optimized N-Body problem engine.
andreasfuhr/sciplot
Format Matplotlib scientific plots
bhaveshk22/AI-Resume-Analyzer
This Repository contains AI Resume Analyzer that utilizes PDF parsing, database management, SQL-Python integration, and data extraction from PDFs. It offers skill recommendations and suggests videos and lectures for skill enhancement, aiming to enhance resume quality and job prospects.
erenonal/K-means_customer_segmentation
Using K-Means algorithm for customer segmentation due to credit card behavior
heyitsabhijeet/Indian-Airlines-Ticket-Price-Analysis
Exploratory Analysis of Indian Airline's Ticket Prices using Python and Power BI
maribickpostanes/Displaying-Well-Log-Parameters--Plots-and-Animations
The objective of this GitHub repository is to develop code that can effectively display well log parameter plots and their animations.
MasterCruelty/robbot
My personal Telegram bot made in Python. It has several features and it's based on Pyrogram.
krunal-nagda/Credit-Card-Fraud-Detection-Capstone-Project---Decision-Tree-and-Random-Forest
In the banking industry, detecting credit card fraud using machine learning is not just a trend; it is a necessity for banks, as they need to put proactive monitoring and fraud prevention mechanisms in place. Machine learning helps these institutions reduce time-consuming manual reviews, costly chargebacks and fees, and denial of legitimate transactions. Suppose you are part of the analytics team working on a fraud detection model and its cost-benefit analysis. You need to develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.
PARKINHYO/corona-kakao-bot
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