Prediction of Sales from a dataset containing Advertisement spends of the commodities.

The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.

Predict daily sales quantities of bakery items using a neural network model with advanced feature engineering and regularization techniques. The project includes optimized hyperparameters for improved accuracy.

This repository contains three machine learning projects completed during the internship at Encryptix: Titanic Survival Prediction, Sales Prediction, and Credit Card Fraud Detection. Each project includes data preprocessing, exploratory data analysis, model building, and evaluation steps.

This repository contains the tasks for data science internship at codsoft

Data Science Internship at CodSoft

Dash app on Render about a Dashboard for Sales and Rating Prediction

Sales prediction models for Electronic Vehicles in USA

A weekly sales store predictor

Pharmalytics is a sales prediction application for Firstmed Pharmacy using the SARIMA model and Streamlit.

Project for Artificial Intelligence Fundamentals

codsoft internship

Predict the daily number of sales (quantity) of all Kalbe products, so that the inventory team can make sufficient daily inventory and create customer clusters/segments to provide personalized promotions and sales treatment for the marketing team.

Exploratory analysis of Diwali sales data

RetailRevolutioner, aims to provide a solution to the problem of accurately predicting consumer behavior in the retail industry. Our web application will analyze past sales data from clients to provide accurate predictions of which items will be the most popular in the coming month

This repository houses a robust machine learning project that leverages Linear Regression to forecast sales, utilizing Python and its powerful data science libraries.

The project's main objective is to create a predictive model for sales and evaluate its accuracy through a comparison of forecasted sales against actual sales data.

Ossis-Infobyte Internship Tasks

Projects on Data Science Internship