1,100 skills found · Page 28 of 37
M-Hayhurst / LazyfitPython wrapper for Scipy curve fitting. Fit and plot simple datasets with minimal effort.
cschone / Py Bike FitPython script used to compare bicycle geometries defined in JSON files and plotted in matplotlib.
pberkes / Empirical CopulaA Python library to compute and plot 2D empirical copulas of discrete data (ordinal or categorical)
cmadusankahw / Fake News Detection With LSTMThis project is based on analysis and classification of news using an LSTM (Long Short Term Memory) - Recurrent Neural Network to Identify fake news over a text-based news stream.Developed using Python, Tensorflow, pandas with spacy, Wordcloud, and gensim for Natural Language Processing and seaborn, plotly for visualizations.
romain894 / Openalex AnalysisA python library to download, analyse or plot articles, institutions, and other entities from the OpenAlex API
SLMT / Paper Plot LibA Python library that helps you plot figures that are put on your paper for your experiment results
ljbkusters / Mpl Waterfall PlotCode to generate a 2D Matlab-like waterfall plot in python using Matplotlib. Not to be confused with a waterfall-chart.
MNoichl / PylabeladjustA small python port of Gephi's Label-Adjust algorithm. Makes labels in matplotlib-plots, or more generally, rectangles, not overlap.
Data-Design-Dimension / Workshop Styles PlotlyEver have that feeling that a lot of data viz you see screams the tool it was made in? Using the Plotly Python libraries, we will take a look under the hood of the style themes available, understand the visual elements like figure and chart backgrounds, and build our own default theme script inspired by 1980's computers.
Juby-elsa / Enrollment Trends 2011 2012A data visualization project analyzing 2011–2012 student enrollment across Indian districts. Focuses on caste, gender, minority, and PWD distribution using simple plots like bar, pie, box, and heatmap. Built with Python, Pandas, Matplotlib, and Seaborn.
tdemareuil / TotalsatPython package to easily download and preprocess Sentinel-2 and Landsat 5-7-8 images directly in a Jupyter notebook. Also includes additional satellite-related tools such as image labelling, image splitting, map data plotting, reverse geocoding, etc. Built on top of GDAL, Google Earth Engine and the coastsat library.
abhilashvijayannair / Analyzing Historical Stock Revenue Data And Building A DashboardFor this project, you will assume the role of a Data Scientist / Data Analyst working for a new startup investment firm that helps customers invest their money in stocks. Your job is to extract financial data like historical share price and quarterly revenue reportings from various sources using Python libraries and webscraping on popular stocks. After collecting this data you will visualize it in a dashboard to identify patterns or trends. The stocks we will work with are Tesla, Amazon, AMD, and GameStop. Dashboard Analytics Displayed A dashboard often provides a view of key performance indicators in a clear way. Analyzing a data set and extracting key performance indicators will be practiced. Prompts will be used to support learning in accessing and displaying data in dashboards. Learning how to display key performance indicators on a dashboard will be included in this assignment. We will be using Plotly in this course for data visualization and is not a requirement to take this course. Watson Studio In the Python for Data Science, AI and Development course you utilized Skills Network Labs for hands-on labs. For this project you will use Skills Network Labs and Watson Studio. Skills Network Labs is a sandbox environment for learning and completing labs in courses. Whereas Watson Studio, a component of IBM Cloud Pak for Data, is a suite of tools and a collaborative environment for data scientists, data analysts, AI and machine learning engineers and domain experts to develop and deploy your projects. Review criteria There are two hands-on labs on Extracting Stock Data and one assignment to complete. You will be judged by completing two quizzes and one peer review assignment. The quizzes will test you based on the output of the hands-on labs. In the peer review assignment you will share and take screen shots of the outcomes of your assignment.
E-Conners-Lab / Python Crash Course ProjectPython Crash Course projects — data viz (Matplotlib/Plotly), random walks, dice sims, pytest
mjhea0 / Bottle Plotly Pythonbottle.py and the plot.ly API
drphilmarshall / PappyProbability distribution Amplification and Plotting in Python
bercowskya / NEUBIAS Porto2019Hands-on Python: Plotting and Data Analysis
Mrk-Nguyen / DmamapExploring plotting Nielsen DMA regions using python, plotly, and geopandas
AminuIsrael / Cufflinks And Plotly TutorialPlotly and Cufflinks - A very interactive Python visualization tool for EDA and presentations.
Pjarzabek / DotPlotPythonHow to create dot plots in Python
suhasjains / MyPlotDigitizerPlot digitizer software written in python
