796 skills found · Page 8 of 27
g2boojum / Matplot Well LogSimple well log plotting using Python and matplotlib
j08lue / PycptPython tools to load and handle cpt (GMT format) color maps for use with matplotlib, e.g. from cpt-city
Priya-rani4541 / Python ProjectAnnalysing the covid dataset using the python library like numpy, pandas, matplotlib and seaborn.
shanto268 / Comprehensive Simulation Traffic Analysis SoftwareThis repository contains software for multi-agent simulation model of mixed traffic flow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis.
June2Hua / MachinLearningProject学习吴恩达视频，完成一个小project。使用梯度下降、正则化、神经网络进行房价的预测。使用python中的numpy、scipy、pandas以及matplotlib完成编程的实现。
Arnavsao / Real Time Traffic Flow Prediction Using Spatio Temporal GNNBuilt real-time traffic prediction system using Graph Neural Networks (GNN) & Graph Convolutional Networks (GCN). Integrates GCN & LSTM layers for spatial-temporal dependencies. Generates synthetic traffic data, provides real-time predictions & visualizations. Tech: Python, PyTorch Geometric, NetworkX, NumPy, Matplotlib.
leejjoon / Pywcsgrid2astromonical fits image for python matplotlib
arnaldog12 / Jupyter TutoriaisJupyter Notebooks com tutorias sobre python, numpy, pandas e matplotlib
codinglikemad / PyAnimTutorialTutorial code to accompany animating matplotlib graphs in python for codinglikemad youtube channel
ekorudiawan / CCD Inverse Kinematics 2DCyclic Coordinate Descent Inverse Kinematics of n-Link Arm Robot in 2D Space with Python and Matplotlib
gonzalezf / Data Analysis And Visualization With PythonData science classes for computer science & and engineering students. Developed a class curriculum, lesson plans, and instructions about how to manage data and create meaningful visualizations using Python, Pandas, Matplotlib, Seaborn and Plotly
RockLakeGrass / Windows On ARM64 ToolchainTools for Windows on ARM devices like the Surface Pro X. Such as Python, Pygame, Pillow, matplotlib, pycryptodome, opencv, PyQt6, LxRunOffline, idea-CE, Qt Creator, Dev-Sidecar, MarkText, Perl, Aria2, Nodejs, MySQL
taramuhamm / Portfolio AnalyzerA portfolio analysis tool built with Python and Matplotlib. This project includes performance tracking, risk assessment, and data visualization for financial portfolios.
RamaSaiJahnavi / Health Lifestyle Analysis✨Machine Learning & Data Analysis project predicting BMI, Stress Level, and clustering health-related features using Python. Implements Regression, Classification (Logistic, KNN, Decision Tree, Random Forest, SVM, Naive Bayes), K-Means & Hierarchical Clustering, with visualizations in Matplotlib & Seaborn.
Devtown-India / HandsOn Data Analysis And MLOver the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used. In this project, you will use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC. Day:1 In this project, Students will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. They will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics. Technologies that will be covered are Numpy, Pandas, Matplotlib, Seaborn, Jupyter notebook. We will be giving the students a deep dive into the Data Analytical process Day:2 We will be giving the students an insight into one of the major fields of Machine Learning ie. Time Series forcasting we will be taking them through the relevant theory and make them understand of the importance and different techniques that are available to deal with it. After that we will be working hands on the bike share data set implementing different algorithms and understanding them to the core We aim to provide students an insight into what exactly is the job of a data analyst and get them familiarise to how does the entire data analysis process work. The session will be hosted by Shaurya Sinha a data analyst at Jio and Parag Mittal Software engineer at Microsoft.
PetraLee2019 / Python Sales Data AnalysisPython Pandas & Python Matplotlib - Sales Data Analysis
ASPP / 2021 Bordeaux DatavizScientific Visualization Crash Course (Python & Matplotlib)
pradeepsinngh / Data Science 101Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
earthlab / MatplotcheckA python package for checking and testing matplotlib plots. We use this for autograding student assignments but there are many other potential use cases including package testing (for packages with plots)!
padas-pub / Python TutorialsTutorials about python language basics, numpy, scipy, pandas and matplotlib.
