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This project aims to predict customer churn using machine learning techniques. By analyzing historical customer data, the model identifies patterns that indicate whether a customer is likely to leave. This can help businesses take proactive measures to retain customers and reduce churn rates.

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customer-churn's Introduction

Hi , I'm Firas Kahlaoui

class Firas_Kahlaoui():
    
  def __init__(self):
    self.name = "Firas Kahlaoui";
    self.username = "FirasKahlaoui";
    self.location = "Ariana, Tunisia";
    self.twitter = "@Firas_kahlaouii";
    self.web = "https://firaskahlaoui.pages.dev";
  
  def __str__(self):
    return self.name

if __name__ == '__main__':
    me = Firas_Kahlaoui()

About me

Hello! My name is Firas Kahlaoui, a passionate and dedicated Computer Science student specializing in Big Data. As a self-taught data analyst, I am always eager to explore new technologies and deepen my understanding of programming languages. My journey in the tech world is fueled by my curiosity and love for continuous learning.

What I Do:

Analyzing Big Data: I work with large datasets to extract meaningful insights and support data-driven decision-making. My expertise includes data cleaning, transformation, and visualization.
Creating Models: I build predictive models using various machine learning techniques to solve complex problems and improve business processes.
Web Scraping: I utilize tools like Scrapy and Selenium to collect data from websites, ensuring I have the most relevant and up-to-date information for my analyses.
Developing Web Applications: I design and develop web applications using modern frameworks and technologies, focusing on creating efficient and user-friendly solutions.

Always Learning:

I believe that technology is ever-evolving, and staying updated is crucial. I strive to learn new things every day, whether it's a new programming language, a framework, or a tool that can enhance my skills.

Thank you for visiting my profile! Feel free to connect with me on , or .