ayoub-etoullali/effyis-datalab-challenge23-transaction-forecast

The project involves developing a Python script for the Fintech DataLab Challenge23, utilizing a linear regression model to forecast client transactions and predict transaction amounts based on historical data for a leading fintech company.

Fintech Data Analysis and Forecasting Challenge

Overview

This repository contains a Python script developed for the Fintech DataLab Challenge23, focusing on forecasting client transactions for a leading fintech company. The script utilizes a linear regression model to predict transaction amounts based on historical data.

Contents

• Introduction
• Prerequisites
• Usage
• Script Overview
• Evaluation
• Results

Introduction

The Fintech DataLab Challenge23 aims to predict client transaction amounts using a provided dataset from a leading fintech company. This Python script leverages the scikit-learn library to implement a simple linear regression model for forecasting.

Prerequisites

To run the script, you need the following prerequisites:

• Python 3
• Required libraries: numpy, pandas, scikit-learn

Usage

1. Clone the repository:

   git clone https://github.com/Ayoub-etoullali/Effyis-DATALAB-CHALLENGE23-Transaction-forecast
   
   

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