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CodSoft

Welcome to my CodSoft Internship Tasks Submission Repository! This repository contains the solutions and materials for the tasks assigned during my internship at CodSoft.

Task Descriptions

  1. Task 1: MOVIE GENRE CLASSIFICATION

    • Description: A machine learning model that can predict the genre of a movie based on its plot summary or other textual information. Using techniques like TF-IDF and LSTM.

  2. Task 2: CREDIT CARD FRAUD DETECTION

    • Description: a model to detect fraudulent credit card transactions.

  3. Task 3: BANK CUSTOMER CHURN PREDICTION

    • Description: a model to predict customer churn for a subscription-based service or business.

  4. Task 4: SPAM SMS DETECTION

    • Description: An AI model that can classify SMS messages as spam or legitimate. Using TF-IDF and Logistic Regression Model to identify spam messages.

Folder Structure

Here's a brief overview of the repository structure:

  • Genre Classification/: Contains materials related to Task 1.
  • Credit Card/: Contains materials related to Task 2.
  • Churn Prediction/: Contains materials related to Task 3.
  • Spam SMS Detection/: Contains materials related to Task 4.
  • ...

How to Access Task Solutions

  • Each task folder contains the .ipynb and the respective datasets.
  • Download and use respective locations and follow the instructions provided in the Jupyter Notebook.

Getting Started

If you'd like to run the code or review the solutions, follow these steps:

  1. Clone this repository to your local machine. 
    git clone https://github.com/your-username/codsoft-internship-submission.git
  2. Open it using Jupyter Notebook.