Theehawau / Sales-Prediction

This project is about building a sales prediction model, and an app where predictions can be gotten from

Sales Prediction

Overview

Sales Prediction / Forecasting will help a business prepare better, plan ahead and the exploratory data analysis will help to determine what factors affect sales and how to exploit those factors and maximize sales. Sales Prediction is a regression problem as it is about predicting a value. Various Machine Learning Regression algorithms would be used for this project. Loss function used for the model is Mean Squared Error because of the meaningful outliers in the dataset.

The Datasets for this project can be found here

Runtime

python-3.6.4

Installation

git clone https://github.com/Theehawau/Sales-Prediction
cd Sales-Prediction
pip -r install requirements.txt

Features

Exploratory Data Analysis

The datasets were explored in this file

Data Modeling and Preprocessing

Modeling and preprocessing python notebook can be found here Sample of Modeling and preprocessing using pipeline can be found here

Deep Learning model

Notebook can be found here

Steps Logging

Log of the steps can be found in:

• Modelling

Scripts

• dashboard.py : Dashboard base code
• plot.py : script with helper functions for plotting
• data_cleaner.py : script with helper functions for Data cleaner
• modelling.py : script to generate mlflow runs

Tests

Test for helper scripts can be found here