97 skills found · Page 3 of 4
mertalabas / Matplotlib TutorialMatplotlib Tutorial Library
JuzerShakir / Investigate TMDb MoviesInvestigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)
story645 / Matplotlib TutorialBeyond Defaults: Creating Polished Visualizations Using Matplotlib
pradeepsinngh / Data Science TutorialsTutorial on How To Use Python, Pandas, Seaborn, Numpy, Matplotlib, Scipy for Data Science.
SahibzadaSalman / Important Data Science LibrariesThis repo contains important libraries for data science / machine learning libraries
richardfoltyn / Python Intro PGRJupyter notebooks for the course "Introduction to Python Programming for Economics & Finance" taught at Glasgow University
oleksandr-g-rock / How To Create Confusion MatrixHow to create a confusion matrix with the test result in your training model & How to visualize the history of network learning: accuracy, loss in graphs.
jakevdp / Mpl TutorialA basic Matplotlib tutorial
ksunden / Mosaic Magic With MatplotlibMosaic Magic with Matplotlib: tutorial for SciPy2023
ATLASConnect / Tutorial PythonCondorA tutorial focused on running a python job on Condor using NumPy, SciPy, Matplotlib, and a custom user package.
zziz / MatplotlibMatplotlib Tutorial. No comments. Just code.
tobias47n9e / GTK3 Matplotlib CookbookTutorials to integrate Matplotlib as a widget into GTK applications.
ivywang-ds / Crash VisualizationA book for tech and non-tech readers who want to know more and know how to improve their visualisation and story-telling skills
maticalderini / Tutorial MatplotlibCustomPlotsA tutorial on making custom plotting functions on matplotlib
richardfoltyn / Python StatisticsJupyter notebooks for introductory Python course for the MSc program "Data Analytics for Economics and Finance" at the University of Glasgow.
sjpfenninger / Vis TutorialTutorial on visualising data in Python: matplotlib, pandas, seaborn, plotly...
PriyankaJhaTheDeveloper / PythonLibrariesTutorialsThis repository contains tutorials about important python libraries: pandas, numpy, matplotlib, seaborn, plotly, cufflinks, BeautifulSoup, DateTime.
Warishayat / Pandas Numpy Matplotlib SeabornThis project explores data analysis and visualization using NumPy, Pandas, Matplotlib, and Seaborn. It provides practical tutorials on data manipulation, statistical analysis, and creating insightful visualizations. Ideal for learners looking to master these essential Python libraries for data science and explore real-world datasets effectively.
nishikantgurav / Heart Disease Prediction Using Neural NetworksThis project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease. This project will utilize a dataset of 303 patients and distributed by the UCI Machine Learning Repository. Machine learning and artificial intelligence is going to have a dramatic impact on the health field; as a result, familiarizing yourself with the data processing techniques appropriate for numerical health data and the most widely used algorithms for classification tasks is an incredibly valuable use of your time! In this tutorial, we will do exactly that. We will be using some common Python libraries, such as pandas, numpy, and matplotlib. Furthermore, for the machine learning side of this project, we will be using sklearn and keras.
manjusv / Matplotlib TutorialMatplotlib tutorial based on video tutorial by Corey Schafer - https://bit.ly/2L7xsot
