Projects in Awesome Lists by coder5omkar
A curated list of projects in awesome lists by coder5omkar .
https://github.com/coder5omkar/microservices
This repo contains accounts,cards,loans microservice created as part of madan redys Microservices course
java microservice postman spring-boot
Last synced: 17 Feb 2025
https://github.com/coder5omkar/beesisphere
Full stack project SB+react+MySql
Last synced: 23 Mar 2025
https://github.com/coder5omkar/logistic-regression-customer-churn-prediction
This project uses Logistic Regression to predict customer churn in the telecom industry. To run, clone the repository, install dependencies, and run the Jupyter notebook for full analysis and predictions.
logistic-regression ml pandas scikit-learn seaborn statistics
Last synced: 16 May 2025
https://github.com/coder5omkar/javacoderunnerapplication
This repository contains Java code runner uses UI Vite+React and Spring Boot as backend
Last synced: 17 Apr 2025
https://github.com/coder5omkar/linear-regression-bike-sharing-assignment
This project aims to model the demand for shared bikes using various independent variables. The goal is to provide insights to the management team, helping them understand how demand fluctuates with different features
data-science eda matplotlib ml mlr pandas python3 seaborn
Last synced: 22 Feb 2025
https://github.com/coder5omkar/ems_fullstack_java_react
This project is a Full Stack Employee Management System that allows HR personnel or administrators to manage employee data efficiently. Built using Java Spring Boot for the back-end and React for the front-end, the system provides an intuitive user interface and a robust API for handling employee information.
java javascript react spring-boot vitejs
Last synced: 27 Feb 2025
https://github.com/coder5omkar/practice
miscelleneus practices from codebasics machine learning course
Last synced: 27 Feb 2025
https://github.com/coder5omkar/multiple-linear-regression
This repository provides a comprehensive implementation of Multiple Linear Regression (MLR) for predictive modeling. It includes detailed steps for preprocessing data, handling categorical variables, and visualizing relationships between features.
data-science machine-learning mlr python
Last synced: 22 Feb 2025
https://github.com/coder5omkar/simple-linear-regression
Linear regression is one of the most fundamental algorithms in machine learning and statistics used for predicting a continuous dependent variable (target) based on one or more independent variables (features). The key idea behind linear regression is to find the relationship between variables by fitting a straight line through the data points.
data-science machine-learning simple-linear-regression sklearn-library
Last synced: 22 Feb 2025
https://github.com/coder5omkar/lendingclubcasestudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
Last synced: 22 Feb 2025