jcsaputra/Food-Ordering-Application-with-Android-Studio

Language: Java - Size: 7.64 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jcsaputra/KNN-vs-MLR-vs-Polynomial-Regression-for-Avocado-Sales-Forecasting

This repository contains an analysis that compares the forecasting accuracy of three regression techniques—K-Nearest Neighbors (KNN), Multiple Linear Regression, and Polynomial Regression—to predict avocado sales in the U.S. Using a dataset from Kaggle, the study explores how each model performs in capturing the complex relationships between variab

Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jcsaputra/Comparative-Performance-of-Regression-Models-for-Avocado-Sales-Forecasting-machine-learning-python

Evaluation and comparison of Random Forest, Multiple Linear, and Polynomial regression models for predicting avocado sales volume in the USA, focusing on accuracy and model performance using historical sales data.

Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: 22 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jcsaputra/E-Commerce-Purchase-Pattern-Analysis-Using-the-Apriori-Algorithm-Machine-Learning

Analyzed purchasing patterns within e-commerce data using the Apriori algorithm to identify frequently bought item sets and uncover insights into consumer behavior.

Language: Jupyter Notebook - Size: 767 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jcsaputra/Figma-Job-Finding-Application-UI

DOIT connects users with short-term job opportunities, allowing them to both offer and find services for tasks ranging from motorbike washing and house cleaning to specialized roles like UI and graphic design. DOUIT aims to create a flexible marketplace for diverse, on-demand services.

Size: 1000 Bytes - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jcsaputra/Diecast-Reseller-Company-Datawarehouse-With-ETL-and-Starschema

Project Overview This repository contains files and scripts to manage the ETL process and analysis of sales data, utilizing a data warehouse approach. The project includes dimensions for time, customer, and product, and an OLAP cube for querying sales information. The purpose is to enable sales tracking by analyzing purchase patterns for customers

Language: Java - Size: 1.08 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jcsaputra/Shoe-Store-Data-Visualization-Using-SAS-Visual-Analytics

This repository provides a comprehensive analysis of Nike sales data across the United States from January 2020 to December 2021. Using data sourced from Kaggle, this project covers data cleaning, visualizations, and predictive modeling to uncover sales trends, regional performance, and product popularity.

Language: SAS - Size: 1.84 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0