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This repository contains the projects I worked on during my Codsoft internship. Each project focuses on a different machine learning problem, including credit card fraud detection, customer churn prediction, movie genre classification, and SMS spam detection.

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abhiverse01/CODSOFT-INTERN

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CODSOFT - Intern

This repository contains the projects I worked on during my Codsoft internship. Each project focuses on a different machine learning problem, including credit card fraud detection, customer churn prediction, movie genre classification, and SMS spam detection.

Projects

1. Credit Card Fraud Detection

  • Detecting fraudulent credit card transactions using machine learning.
  • More Details

2. Customer Churn Prediction

  • Predicting customer churn in a telecom company.
  • More Details

3. Movie Genre Classification

  • Classifying movies into different genres based on plot summaries.
  • More Details

4. SMS Spam Detection

  • Detecting spam messages using natural language processing.
  • More Details

Requirements

  • Refer to the requirements.txt file for a list of dependencies.

Installation

  • To install the required packages, run:
    pip install -r requirements.txt

Usage

  • To run any of the projects, navigate to the respective project directory and execute the Jupyter notebook.

License

  • This project is licensed under the MIT License.

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This repository contains the projects I worked on during my Codsoft internship. Each project focuses on a different machine learning problem, including credit card fraud detection, customer churn prediction, movie genre classification, and SMS spam detection.

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