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.