SalesPredictor

Machine Learning model to predict sales based on lead's lifecycle.

Requeriments

• python==3.8.5
• numpy==1.19.2
• pandas==1.2.2
• scikit-learn==0.23.2
• keras-gpu==2.4.3

(*) For a complete revision, please check environment.yml file.

Virtualenv

Tested Operative System:

• Windows 10: OK
• All linux-based os: OK

Steps

1. Clone repository and move to directory:

   git clone https://github.com/dpalominop/SalesPredictor.git && cd SalesPredictor

2. Create and activate a virtual environment (I recommend to use conda):

   conda env create -f environment.yml

   conda activate sales

3. Run the web application:

   jupyter lab

4. Open a browser and write in url:

   localhost:8888

5. For a review of analysis, check the notebook:

   1.0-exploratory-analysis.ipynb

6. For a review of model's building, check the notebook:

   2.0-experiment-model.ipynb

Help?

Please, contact me to: [email protected]