This Repository is the official project space of team ALMA2020 - Mishmash Online Hackathon.

Bigmart Sales Prediction

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.

It includes all Artificial Neural Network Projects.

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.

Ossis-Infobyte Internship Tasks

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

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

Sales prediction models for Electronic Vehicles in USA

A comparative study between statistical, machine learning and time-series methods to predict future sales of a retail store based upon Cork. The sales data was obtained from a local store and the data analysis was performed.

In this repository, I have done simple python projects for understanding the python environment.

Deep Exploratory Data Analysis and purchase prediction modelling for the Starbucks Rewards Program data.

Predicting purchase amount in Black Friday dataset. (MAE = 2195)

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.

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

TimeSeries Analysis in R

Develop a predictive model and understand what drives customers to cross-buy the newest product from a DTC meal-kit business.