774 skills found · Page 12 of 26
danawoodruff / Car Sales AnalysisProject examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.
limist / Webplotlibwebplotlib is a Python package to create server-side charts, using Matplotlib. It is readily integrated into a Django project, or used on its own.
ifs-rwth-aachen / RWTH ColorsRWTH Aachen University Corporate Design Colors in various colors, including a python package to seemlessly integrate RWTH Colors into matplotlib
dhowland / CalendarplotPlot daily data on a 1-year calendar using Python and Matplotlib
engripaye / Data Analysis Global Education Health OutcomesPython (Pandas, Matplotlib), Power BI Datasets: World Bank & UNICEF (CSV/Excel downloads)
AmritbaniKaur / SMM1 Graph And Centrality MeasuresImplemented degree, closeness, betweenness and eigenvector centrality in python with and without Networkx Library. Created a network graph, with node size relative to the eigen vector centralities of the nodes. It uses Numpy, Matplotlib, Networkx and itertools libraries for fulfilling the requirements.
vivamoto / ClassifierMachine learning code, derivatives calculation and optimization algorithms developed during the Machine Learning course at Universidade de Sao Paulo. All codes in Python, NumPy and Matplotlib with example in the end of file.
ayushkr23 / Space Mission Data AnalysisExploratory Data Analysis of global space missions (1957–2022) using Python, Pandas, Matplotlib & Seaborn.
lohitkolluri / Employee Detail AnalysisAnalyze employee HR data using Python with insights on salaries and visualizations via Pandas, NumPy, and Matplotlib.
YoussefAboelwafa / Python Golden NotesThis is my Python Notes Repo This Repo include Notes for 3 main libraries in Python used for Data Science & Machine Learning (numpy | matplotlib | pandas)
rohanmistry231 / Matplotlib Interview PreparationA focused resource for mastering Matplotlib, featuring practice problems, code examples, and interview-oriented data visualization techniques in Python. Covers plotting, customization, and advanced visualization for excelling in data science interviews.
Ehtijad-Ali / PYTHON LIBRARIES FOR MACHINE LEARNINGPython libraries like Scikit-learn, TensorFlow, Keras, and PyTorch are used for machine learning and deep learning. XGBoost and LightGBM specialize in boosting models, while Pandas and NumPy handle data, and Matplotlib and Seaborn provide visualization tools.
ImperialCollegeLondon / RCDS Plotting In Python With MatplotlibNo description available
ysnkhll / Alcubierre Warp DrivePython implmentation of Alcubierre's metric using Numpy and Matplotlib.
ComputerScientist-01 / Sorting VisualizerA python based sorting visualizer built with the help of Matplotlib animations
YuehHanChen / Telco Customer Churn AnalysisUse Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer Churn’ dataset.
codingforentrepreneurs / Time Series Mongodb PymongoLearn the fundamental techniques for analyzing time-series data with Python, MongoDB, PyMongo, Pandas, & Matplotlib
harshit4v / Public Libraries Dataset AnalysisThis contains the detailed dataset analysis of the public libraries dataset using Python And its libraries Numpy,Pandas,Matplotlib & Seaborn
anshumansinha3301 / Matplotlib VisualizationsSome Graphs using Matplotlib in Python
JambaAcademy / Mastering Data AnalysisThis repository contains code for the book "Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib".
