Pinned Repositories
absenteeism_dataset
Multiple attributes of workers are recorded. problem is to predict the absenteeism of a worker.
audiobooks_dataset
The audiobook dataset contains information about audiobook customers over a two-year period. The purpose of this data science project is to analyze the dataset and develop a model to predict whether or not a customer will make a purchase after two years.
bitespeed_challenge_one
deekay_portfolio
a portfolio site for deekay
eloquence
Event Registration & Information Website for college conducted on Oct-2023
exit_of_employee_analysis
Predicting exit of employee from company by given dataset
forex_trading_system
a Forex Trading System using Nest.js
maze_generator
recommendation
snapshotWallpaper
This project is a simple tool that generates an image using JavaScript (utilizing a canvas) and sets it as the system wallpaper on Ubuntu 20.04. The process runs in a loop at regular intervals (default: every 15 minutes, configurable).
vaaghu's Repositories
vaaghu/eloquence
Event Registration & Information Website for college conducted on Oct-2023
vaaghu/exit_of_employee_analysis
Predicting exit of employee from company by given dataset
vaaghu/absenteeism_dataset
Multiple attributes of workers are recorded. problem is to predict the absenteeism of a worker.
vaaghu/audiobooks_dataset
The audiobook dataset contains information about audiobook customers over a two-year period. The purpose of this data science project is to analyze the dataset and develop a model to predict whether or not a customer will make a purchase after two years.
vaaghu/bitespeed_challenge_one
vaaghu/deekay_portfolio
a portfolio site for deekay
vaaghu/forex_trading_system
a Forex Trading System using Nest.js
vaaghu/maze_generator
vaaghu/recommendation
vaaghu/snapshotWallpaper
This project is a simple tool that generates an image using JavaScript (utilizing a canvas) and sets it as the system wallpaper on Ubuntu 20.04. The process runs in a loop at regular intervals (default: every 15 minutes, configurable).
vaaghu/date
vaaghu/demographic_data_analysis
Analyzed demographic data from a dataset that was extracted from the 1994 Census database using pandas
vaaghu/donquix
vaaghu/financeSimulation
vaaghu/health_costs_prediction
Predicting healthcare costs using a regression
vaaghu/maze_pathFinding
vaaghu/medical_data_visualizer
Explored the relationship between cardiac disease, body measurements, blood markers, and lifestyle choices using the medical dataset
vaaghu/mnist_problem
The MNIST problem is a dataset developed by Yann LeCun, Corinna Cortes, and Christopher Burges for evaluating machine learning models on the handwritten digit classification problem
vaaghu/nature_of_code
examples and exercise from nature of code book
vaaghu/page_views_time_series_visualizer
Visualized time series data using a line chart, bar chart, and box plots
vaaghu/problems
solutions for various programming problems
vaaghu/Q_and_A_api
answers to the template questions that's obtained from the sales notes using the openai API
vaaghu/redirecter
it's a redirect node app
vaaghu/sea_level_predictor
analyzed a dataset of the global average sea level change since 1880 to predict the sea level change through year 2050.
vaaghu/SIH
SIH-24
vaaghu/supermarkets-data-analysis
vaaghu/titanic_survival_prediction
vaaghu/vaaghu
vaaghu/Vittae-x
vaaghu/wedding