776 skills found · Page 16 of 26
sakshiarora03 / Used Cars EDAExploratory Data Analysis on a used cars dataset in the UAE using Python, Pandas, Matplotlib, and Seaborn.
MagnoEfren / Grafica Python GUIGraph of an analog signal of arduino in python using tkinter and matplotlib
dlab-berkeley / Python Data VisualizationD-Lab's 4-hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.
ain-soph / AlpsplotPython plotting library of alps-lab style using matplotlib.
rahard / Pemrograman Covid 19Using Python and Matplotlib to plot COVID-19 cases in Indonesia
dsmbgu8 / Image Annotate.pySimple python-based interactive image annotation tool requiring only numpy and matplotlib
shreyas7kha / Football Mpl ExamplesA few examples of making football analytical visualisations using Python and Matplotlib
Tamanpreet84 / Public Libraries EDAthis is code for exploratory data analysis using python numpy, pandas, matplotlib, seaborn.
ouussama-e / Side Channel AttackA build from scratch simulation for time attack on RSA altgorithm using python (numpy,matplotlib)
darpana-chauhan / Smartphone Usage AnalysisA mini data analysis project using Python, Pandas, NumPy, and Matplotlib to analyze smartphone usage patterns.
RKNITH / WEB THEORYIT CONTAINS THEORY RELATED TO HTML, CSS, JS, REACT, DATABASE, COMPUTER NETWORK, PYTHON, TURTLE, TKINTER, SELENIUM, NUMPY, MATPLOTLIB
daehyunk927 / Wind Power Generation With Machine LearningFilters CSV files of wind sites and generates parameters and features used in predicting wind power using NumPy in Python. Evaluates performance of 7 different ML algorithms using Scikit-Learn and creates a visualization of the results using MatplotLib in Python.
fuchsia-programming / ChartsRuby, Python and Perl based d3pie, Google Charts, Chart.js, plotly.js, Matplotlib and Seaborn charting demonstration :heartpulse: :cupid: :gift_heart: Configurable static site generator :doughnut: :dvd: :black_circle: :full_moon:
jl33-ai / DotplotlibA basic extension library for creating tree dot plots, strip plots or dot charts w/ matplotlib or seaborn in Python
alireza-data / LiB Degradation PatternsUnveiling a Gaussian process machine learning model to predict Li-ion battery health (SOH) and remaining life (RUL). Leveraging impedance spectroscopy data from Zenodo and inspired by the Nature paper "Identifying degradation patterns of lithium-ion batteries". Implemented in Python using Matplotlib and Numpy.
shivam-K-chaubey / Live Weather Data VisualizationBuilt a Live Weather Data Dashboard using Python, Streamlit, and OpenWeatherMap API to visualize real-time weather for 50+ cities. 📊 Integrated data analysis, EDA, and interactive plots with Seaborn & Matplotlib for a powerful and clean interface.
tanvibhayani / Tanvi BhayaniEarned a Machine Learning certificate covering data handling, feature engineering, model building, and accuracy optimization. Worked on real datasets using Python, Pandas, NumPy, Matplotlib, and ML algorithms like Linear Regression, Decision Trees, and KNN.
rlancaster243 / Quant Agent🚀 AI-powered multi-agent trading analysis system with Streamlit UI. Features technical indicators, pattern recognition, trend analysis, and LLM-driven decision synthesis using Groq API. Built with Python, OpenBB, and matplotlib for comprehensive market insights.
aditimaurya24 / My Python Project📊 Real-Time Air Quality Index (AQI) Analysis A Python project analyzing global air quality data using Pandas, Matplotlib, and Seaborn. It identifies pollution trends, high-risk areas, and time-based patterns for pollutants like PM2.5, NO₂, SO₂, and more.
siddhanthsatish / HealthifyDetected the number of steps taken from iPhone's accelerometer data using a step-detection algorithm with 99% accuracy. Developed an activity recognition classifier to identify whether the user is cycling, walking, jumping, or sitting with 85% accuracy. Derived heart rate and breath rate from Photoplethysmography (PPG) signal using signal filtering techniques. Technologies Used: Python Numpy, SciPy, Matplotlib, Jupyter Notebooks.
