Store-Sales-Prediction-Project
所属分类:数据挖掘/数据仓库
开发工具:Jupyter Notebook
文件大小:7245KB
下载次数:0
上传日期:2021-09-16 05:35:52
上 传 者:
sh-1993
说明: 如今,购物中心和大型集市都在跟踪单个商品的销售数据,以预测未来的客户需求...
(Nowadays, shopping malls and Big Marts keep track of individual item sales data in order to forecast future client demand and adjust inventory management. In a data warehouse, these data stores hold a significant amount of consumer information and particular item details. By mining the data store from the data warehouse, more anomalies and)
文件列表:
Dataset (0, 2021-09-16)
Dataset\Prediction (0, 2021-09-16)
Dataset\Prediction\Predicted.csv (675829, 2021-09-16)
Dataset\Train and Test (0, 2021-09-16)
Dataset\Train and Test\Test.csv (527709, 2021-09-16)
Dataset\Train and Test\Train.csv (869537, 2021-09-16)
Documentation (0, 2021-09-16)
Documentation\Architecture.docx (190859, 2021-09-16)
Documentation\Detailed Project Report.pptx (1642178, 2021-09-16)
Documentation\High_Level_Design.docx (411355, 2021-09-16)
Documentation\Low_Level_Design.docx (190859, 2021-09-16)
Documentation\Wireframe.docx (245120, 2021-09-16)
Documentation\documentation.txt (29, 2021-09-16)
Images (0, 2021-09-16)
Images\demo thumbnail.png (499881, 2021-09-16)
Images\home_page.png (144317, 2021-09-16)
Images\predict_page.png (58717, 2021-09-16)
Images\result_page.png (29709, 2021-09-16)
Images\screenshots.txt (20, 2021-09-16)
Procfile (52, 2021-09-16)
Store Sales Prediction Training.ipynb (1537415, 2021-09-16)
StoreSalesPrediction (0, 2021-09-16)
StoreSalesPrediction\asgi.py (433, 2021-09-16)
StoreSalesPrediction\settings.py (3536, 2021-09-16)
StoreSalesPrediction\urls.py (967, 2021-09-16)
StoreSalesPrediction\views.py (26063, 2021-09-16)
StoreSalesPrediction\wsgi.py (433, 2021-09-16)
manage.py (698, 2021-09-16)
model_final2.sav (175203, 2021-09-16)
requirements.txt (201, 2021-09-16)
static (0, 2021-09-16)
static\assets (0, 2021-09-16)
static\assets\css (0, 2021-09-16)
static\assets\css\style.css (24071, 2021-09-16)
static\assets\img (0, 2021-09-16)
static\assets\img\hero-img.svg (34525, 2021-09-16)
static\assets\js (0, 2021-09-16)
static\assets\js\main.js (5858, 2021-09-16)
... ...
# Store Sales Prediction
Nowadays, shopping malls and Big Marts keep track of individual item sales data in
order to forecast future client demand and adjust inventory management. In a data
warehouse, these data stores hold a significant amount of consumer information and
particular item details. By mining the data store from the data warehouse, more
anomalies and common patterns can be discovered.
So, We have build a solution which is able to predict the sales of the
different stores of Big Mart according to the provided dataset.
# Dataset
Dataset Link: - https://www.kaggle.com/brijbhushannanda1979/bigmart-sales-data
We have train (8523) and test (5681) data set, train data set has both input and output
variable(s). We need to predict the sales for test data set.
Item_Identifier: Unique product ID
Item_Weight: Weight of product
Item_Fat_Content: Whether the product is low fat or not
Item_Visibility: The % of total display area of all products in a store allocated to the
particular product
Item_Type: The category to which the product belongs
Item_MRP: Maximum Retail Price (list price) of the product
Outlet_Identifier: Unique store ID
Outlet_Establishment_Year: The year in which store was established
Outlet_Size: The size of the store in terms of ground area covered
Outlet_Location_Type: The type of city in which the store is located
Outlet_Type: Whether the outlet is just a grocery store or some sort of supermarket
Item_Outlet_Sales: Sales of the product in the particulat store. This is the outcome
variable to be predicted.
## Screenshots
#### Home Page
![App Screenshot](https://github.com/scorpion-varun/Store-Sales-Prediction-Project/blob/main/Images/home_page.png?raw=true)
#### Input Page
![App Screenshot](https://github.com/scorpion-varun/Store-Sales-Prediction-Project/blob/main/Images/predict_page.png?raw=true)
#### Prediction Page
![App Screenshot](https://github.com/scorpion-varun/Store-Sales-Prediction-Project/blob/main/Images/result_page.png?raw=true)
## Demo
[![Watch the video](https://github.com/scorpion-varun/Store-Sales-Prediction-Project/blob/main/Images/demo%20thumbnail.png?raw=true)](https://youtu.be/2FjLsIOO5nU)
## Run Locally
Clone the project
```
git clone https://github.com/scorpion-varun/Store-Sales-Prediction-Project
```
Go to the project directory
```
cd StoreSalesPrediction
```
Install dependencies
```
pip install -r requirements.txt
```
Start the server
```
python manage.py runserver
```
## Tech Stack
**Client:** HTML, CSS, JavaScript
**Server:** Python
**Framework:** Django
**Hosting Platform:** Heroku
## Documentation
[High Level Document](https://github.com/scorpion-varun/Store-Sales-Prediction-Project/blob/main/Documentation/High_Level_Design.docx)
[Low Level Document](https://github.com/scorpion-varun/Store-Sales-Prediction-Project/blob/main/Documentation/Low_Level_Design.docx)
[Wireframe](https://github.com/scorpion-varun/Store-Sales-Prediction-Project/blob/main/Documentation/Wireframe.docx)
[Deatiled Project Report](https://github.com/scorpion-varun/Store-Sales-Prediction-Project/blob/main/Documentation/Detailed%20Project%20Report.pptx)
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