This reproducible project predicts daily restaurant sales using supervised machine learning techniques.

Linear Regression with univariate and multivariate model to predicts sales value based on different features.

codsoft internship

Exploratory analysis of Diwali sales data

3rd-year university project in ML/DL

A weekly sales store predictor

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

The store managers needs to be empowered with data analytics solutions/ tools, which enables them to predict daily sales for up to a month in advance.

Ossis-Infobyte Internship Tasks

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

Sales prediction models for Electronic Vehicles in USA

It includes all Artificial Neural Network Projects.

Analisis exploratorio de los datos, y prediccion de las ventas, segun publicidad en medio de comunicación.

In this project I have tried different approaches to Sales forecast like SARIMAX, Facebook's Prophet, LSTM and XG Boost Regression. I have tried to optimize each of these models to get the best sales forecasting model suitable for Olist' limited historical data.

Customer segmentation analysis and Black Friday sales forecast based on Machine Learning.

Doing predictions of sales for Qatar-based user. Used timeseries, seasonal decomposition and sentiment analysis. Goal was to visualize sales, find connections between hundreds of independent variables and sales and to make the sales of the company and make them better.

This project aims to predict sales for the Big Mart retail chain using a Kaggle dataset.

Laboratory works on Methods of Artificial Intelligence course