A Python program which uses strava .gpx files to create a heatmap to show the distribution of work out locations.

Data surrounding an Instagram page’s engagement during the month of July was imported and manipulated to plot a colour-encoded matrix that revealed general patterns in their dataset. The final heatmap displays data from Instagram that identifies the best time of the day and day of the week to run social media marketing campaigns.

Modelling the relationship between a player’s first-time eligible arbitration salary and multiple variables.

This is a case study of RED company based on user data and consumption behavior data. It uses Python to build a linear regression model to predict the changes in the user's purchasing amount and find the factors that have a greater impact on users' purchasing amount. The linear regression effect of the data provided is not good and it is only us…

Vue component that visualizes mood of a whole YEAR by heatmap. Inspired by GitHub contributions heatmap.

Generate a noise pollution heatmap which can be visualised in google maps using jupyter notebook.

Passenger data from the Titanic for research purposes as well as to observe the effects of running a Logistic Regression model on the dataset and how a Confusion Matrix checks for validity among output scores.

Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.Loan analysis is an evaluation method that determines if loans are made on feasible terms and…

Visualizing Pneumonia Detection in Chest X-Ray Images: Enhancing Transparency and Understanding with Explainable AI using Grad-CAM and VGG19

Made a heat map for agriculture data

FreeCodeCamp data analysis challenge: Medical Data Visualizer 📊

A heatmap visualization library for sighting intensity of data at geographical points contained in generic CSV files

Determining ideal vacation spots by analyzing weather data around the world.

The objective is to use the dataset to explore the relationship between cardiac disease, body measurements, blood markers, and lifestyle choices.

We are trying to plot an advance heatmap plot here which can be broken into hourly and monthly basis for multiple years for 24 hours in a given day

Flywheel gear for generating heatmaps of cortical thickness abnormalities in aging patients.

CSV Data to Heat Map Converter

A heatmap generator for sixel-capable terminals.

Visualizing open data on tree locations in French urban spaces with Folium

Data analysis and modeling (Clustering) on the Imtiaz mall electronics dataset using statistical and mathematical techniques and Python programming language.