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This project will help to identify the critical features that influence sales and also an experiment is performed to find the best suitable algorithm for sales forecasting.

share.streamlit.io/virtualbookworm/wapas/main/app.py

Apache-2.0 license

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Name		Name	Last commit message	Last commit date
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assets		assets
models		models
LICENSE		LICENSE
README.md		README.md
app.py		app.py
model_notebook.ipynb		model_notebook.ipynb
requirements.txt		requirements.txt

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WAPAS

Web Application to Predict & Analyse Sales

Technologies used:

Python 3.8.5
Scikit-Learn
NumPy
Pandas
Streamlit

ML model used:

Supervised--> Linear Regression

About

This project will help to identify the critical features that influence sales and also an experiment is performed to find the best suitable algorithm for sales forecasting.

share.streamlit.io/virtualbookworm/wapas/main/app.py

application machine-learning programming web analytics linear-regression pyhton3 streamlit

Apache-2.0 license

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WAPAS v1.0 public release Latest

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