Economic-Well-Being-Prediction

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Economic-Well-Being-Prediction

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# Economic-Well-Being-Prediction

## Brief Description

The objective of this challenge is to build a machine learning model to predict a measure of wealth as measured in household surveys using readily available inputs., have a look on [Zindi](https://zindi.africa/competitions/economic-well-being-prediction-challenge).

## About this Repository

```
This Repository contains an Unofficial Winning Solution Code for this Challenge .  Enjoy !
```

## About this code

```
Solution Code Pipeline :

1. Data Processing : 
      1.1 Apply frequency Encoder to :  'Year','country','urban_or_rural' Columns . 
      1.2 Combine similar Features ( we sum them )
     
   2. Modeling : 
      Using Cross validation strategy with K=10 , We  trained an LGBM Model .     
```

## [On the Leaderboard](https://zindi.africa/competitions/economic-well-being-prediction-challenge/leaderboard)

Look for the team name : **AKCE** <br>
Rank : 1/141    
## Authors

| Name           |                     Zindi ID                     |                  Github ID               |
|----------------|--------------------------------------------------|------------------------------------------|
|Azer KSOURI |[@ASSAZZIN](https://zindi.africa/users/ASSAZZIN)      |[@ASSAZZIN-01](https://github.com/ASSAZZIN-01)        |
|Caleb Emelike     |[@CalebEmelike](https://zindi.africa/users/CalebEmelike)  |[@CalebEmelike](https://github.com/CalebEmelike)|

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