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Projects in Awesome Lists by coder5omkar

A curated list of projects in awesome lists by coder5omkar .

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: 03 Jan 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: 03 Jan 2025

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: 26 Dec 2024

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: 26 Dec 2024

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: 03 Jan 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: 03 Jan 2025