anshjain0316 / sales_forecasting_project Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

A mini end-to-end data science project that explores retail sales data using EDA, SQL-style queries, and machine learning. Built with Python, pandas, seaborn, and scikit-learn, this project predicts total sales using quantity and unit price.

0 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
README.md		README.md
analysis_and_model.ipynb		analysis_and_model.ipynb
requirements.txt		requirements.txt
retail_sales_dataset.csv		retail_sales_dataset.csv

Repository files navigation

Sales Forecasting Project

A simple data analytics and forecasting pipeline built in Python.

Features

Data Cleaning
EDA and Visualizations
SQL-style Queries using pandasql
Sales Forecasting using Linear Regression

Libraries Used

Pandas, NumPy
Matplotlib, Seaborn
Scikit-learn
pandasql

How to Run

Install requirements: pip install -r requirements.txt
Run analysis_and_model.ipynb

About

A mini end-to-end data science project that explores retail sales data using EDA, SQL-style queries, and machine learning. Built with Python, pandas, seaborn, and scikit-learn, this project predicts total sales using quantity and unit price.

Report repository

Releases

No releases published

Packages

No packages published

Languages

Jupyter Notebook 100.0%