https://github.com/brunocampos01/predict-which-customers-a-call-center-should-contact

Predict which customers should a call-center call for greater assertiveness in a sale
https://github.com/brunocampos01/predict-which-customers-a-call-center-should-contact

analytics call-center call-center-analytics challenge correlation data-engineering data-science dataset keyrus linear-regression linear-regression-models machine-learning polynomial-regression pt-br python random-forest random-forest-classifier

Last synced: 2 months ago
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Predict which customers should a call-center call for greater assertiveness in a sale

• Host: GitHub
• URL: https://github.com/brunocampos01/predict-which-customers-a-call-center-should-contact
• Owner: brunocampos01
• License: mit
• Created: 2019-06-19T11:29:40.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-01-11T00:24:10.000Z (about 3 years ago)
• Last Synced: 2024-05-07T18:20:17.962Z (9 months ago)
• Topics: analytics, call-center, call-center-analytics, challenge, correlation, data-engineering, data-science, dataset, keyrus, linear-regression, linear-regression-models, machine-learning, polynomial-regression, pt-br, python, random-forest, random-forest-classifier
• Language: Python
• Homepage:
• Size: 16 MB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Predict which customers should a call-center call for greater assertiveness in a sale

[![Python 3](https://img.shields.io/badge/Python-3-gray.svg)](https://www.python.org/downloads/release/python-381/)

![License](https://img.shields.io/badge/Code%20License-MIT-gray.svg)



## Describe Project

Job challenge for a Data Scientist at [Keyrus](https://keyrus.com/worldwide/home).

## Objectives

The objective is to predict which customers a call center should contact to close a sale.

## Data Source

In this repository: [raw](https://github.com/brunocampos01/challenge-keyrus/tree/master/data)

## Algorithms

- Linear Regression (baseline)

- Linear Regression with Regularization

- Polynomial Regression

- Random Forest

- Random Forest Regressor

## Quickstart

1. [Data Analysis and Data Cleaning](https://github.com/brunocampos01/predict-which-customers-a-call-center-should-contact/blob/master/notebooks/1-data_exploration-data_cleasing.ipynb)

2. [Data Exploration and Feature Engineering](https://github.com/brunocampos01/predict-which-customers-a-call-center-should-contact/blob/master/notebooks/2-data_exploration-stats_feature-eng.ipynb)

3. [Modeling and Evaluation](https://github.com/brunocampos01/predict-which-customers-a-call-center-should-contact/blob/master/notebooks/3-modeling_evaluation.ipynb)

## Requirements

This project is tested with:

| Requisite      | Version  |

|----------------|----------|

| Python         | 3.9.7    |

| Pip            | 21.2.4   |

I recommend using Python [venv](https://github.com/brunocampos01/becoming-a-expert-python#virtual-environment).

#### Install Libraries

```

pip install --require-hashes -r requirements.txt

```

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