Employee-Absenteeism-Project-Work

Package repository standardization template for nodejs project types. Compatible for agile processes.

Standarize the date across all your projects using this library. Library created for applications who needs to have a precise date and time on different timezones and locations.

Kyphosis disease prediction using Fully Connected Neural Networks (FCNNs) model and XGBoost model with GridSearchCV

📚 A set of specifications to constrain, organize, and standardize projects.

A cipher that converts character to their ASCII values and then standardizes the result.

This is a repository for the opensource book project of 감염병 재난에 대응하기 위한 의료 인공지능의 기술 표준 동향(Current Trends and Standardization Efforts of Medical Artificial Intelligence on Infectious Disease Outbreaks, including COVID-19).

Results of StackOverflow Survey 2020 in terms of job factors

This project is based on House Prices dataset which consists of 2073 rows and 81 columns. Objective is to predict the price of the houses by a Regression Technique called Linear Regression after performing Principal Component Analysis.

In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.

Airbnb Listings Success Label Classification

Finds the price of the wool based on the past 5 month's price. The dataset provided has prices from 2014 recorded for every month.

Golang HTTP service to allow users to search linux manual in their own system, with wildcards or regex (name + page summary), then convert to a dark themed html page with hyperlinks to named pages.

A SQL-based project that cleans and transforms a housing dataset by standardizing data formats, filling missing values, and optimizing data structure for analysis.

python based simple Tools for Neural network training for image classifier, (dir based image converter, Normalization, Blur Augmentation, Multiple Model Evaluate )

The Newbie Club's Proposals and Standardizations

Exploratory data analysis (EDA) NOTES

Centralize messages and elevate user experience with custom exception handling and data annotation validation. Simplify your messaging system effortlessly.

Code created during a Machine Learning class at Columbia University

Jupyter notebook and "Streamlit" python scripts for identifying features that can predict employee turn over rates at 250 senior care centers across the US. Combines multiple repetition of Lasso regression and linear regression. Integrates U.S. census data, employee salary, and employee tenure with data on employee satisfaction and engagement to…