776 skills found · Page 13 of 26
jskgautam / Model Phased Array AntennaModelling An Antenna Array: Using Python programming language- Numpy and Matplotlib. Directing radio waves in a particular direction by adjusting their number, geometrical arrangement, and relative amplitudes and phases.
raunakdoesdev / Pdfplotpdfplot is a Python library for easily managing your matplotlib figures as PDF files.
mohd-faizy / CAREER TRACK Data Scientist With PythonThis Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
m-rphy / Python ProjectsThis is an assortment of python projects to show case various tools. Ranging from NumPy and Matplotlib, to Pools and sys.
aniketrai07 / Python ProjectA Python-based project to analyze trends in agricultural commodities using data visualization and pandas. 🔍 Overview Analyzes commodity arrival and price trends. Focuses on key items: Onion, Potato, Rice. Visualizes data using Matplotlib and Seaborn.
partoftheorigin / Applied Data Science With PythonThis repository contains my work while completing the specialization created by University of Michigan on Coursera. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Harshvardhan8091 / VIDEO GAME SALES ANALYSISA Python-based data analysis project exploring global video game sales using Pandas, NumPy, Matplotlib, and Seaborn. Includes insightful visualizations and trends from the Zenodo dataset.
AbdulRehmanBaig384 / Automobile Data InsightsAutomobile Data Insights: A data analysis project exploring trends in vehicle prices, fuel efficiency, and other key attributes. Uses Python, Pandas, Matplotlib, and Seaborn for data visualization and insights.
turicas / PlotterPlot data from CSV using Python, matplotlib and outputty
Dataweekends / Tdwi Intro Ml One DayHands-on Introduction to Machine Learning with Python, Pandas, Matplotlib and Scikit-Learn
MahmoudAbdelRahman / GhPlotLibScientific plotting library for Rhino\Grasshopper based on Python\matplotlib module. (work in progress)
jobar8 / GraphicsCollection of functions for creating and manipulating graphics, colormaps and plots with Python and matplotlib.
anshumansinha3301 / Bitfusion Genetics DatabaseGenetics Project (Tech stack - python, matplotlib)
pradeepsinngh / Data Science TutorialsTutorial on How To Use Python, Pandas, Seaborn, Numpy, Matplotlib, Scipy for Data Science.
engali94 / Twitter Account AnalyzerUsing various Python libraries such as Pandas, tweetPy, JSON ans matplotLib to take a sneak peek on your Twitter account using Google Colab.
aditeyabaral / GpythonRecreated the popular graphing application "Desmos" on Python using matplotlib, scipy and numpy. GPython can be used as an extensive graphing application that can plot 2D, 3D and even polar curves and also differentiate and integrate functions.
CDWimmer / PokePalette649 Pokémon palettes as CSVs, with a Python lib to turn names/IDs into palettes, or MatPlotLib compatible ListedColormaps.
sandeep7313 / IT Contracts Analysis ProjectA simple Python data analysis project using NumPy, Pandas, Matplotlib, and Seaborn to explore and visualize IT contracts data. This project includes data cleaning, EDA, visualization, predictive analysis using linear regression, and automated reporting.
anshumansinha3301 / Comparison Of Banking SectorsA Data science projects made using jupyter notebook and python libraries like matplotlib, numpy and ml tools for comparison of banking sectors
Seshaveni123 / Data Driven Infrastructure AnalyticsThis project presents an exploratory data analysis (EDA) of road and bridge construction data under the Pradhan Mantri Gram Sadak Yojana (PMGSY) scheme. Using Python libraries like Pandas, Seaborn, and Matplotlib, the project transforms raw CSV data into actionable insights and visual stories.
