heatmap-visualization

A small library for creating pretty heatmaps of daily data.

Camera localization and video stabilization component. Fixed coordinates system. Using Python and OpenCV.

High memory usage reference implementation.

Ukraine War Map/Heatmap

Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.

fast calculation of heatmap from given points.

This is a Google tag manager template for Microsoft Clarity tag

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

Calendar heatmap svg generator written in go

A short exploration of semi-supervised learning for image classification from the Kaggle retinal disease detection dataset. Also - gradCAM heatmaps for visualizing model activation.

A COVID-19 Relief Distribution app to record and suggest where more relief is needed according to the past data points

recursive method for heatmap calculation from given points.

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

Heatmap-visualization app, users can search for subreddit and get top 300 submissions from last year displayed in a heatmap.

This is a house price prediction study which utilized Exploratory Data Analysis, Dealing with Missing Values, Linear Regression with LASSO and Ridge regularization to predict house prices in the Ames Housing Data Set

University campus heatmap based on open data datasets. Students school project.

Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.

Created a heatmap to showcase the avg. tips left by groups during lunch & dinner

Software pipeline for generating heatmaps of cortical thickness abnormalities in patients across the age spectrum.

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.

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

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 used for practicing the linear regression.

Ideal Interface for Data Acquisition Systems and Control Robotics. Combining Core Java, OpenCV, GCP, various APIs in the journey towards ultimate sophisticated controller interface.

Disease Spread and Social Response Spread Simulation

This is a study case to cluster and group customers based on their data and consumption behaviour data, analyze the core characteristics of user groups.

Attention weight visualisation for sentiment analysis.

Modeling heat diffusion with the finite difference method for PDE's in an idealized chicken panini, created in a group of 2 for a second-year computing project. Awarded an A+ (87.5%).