CODSOFT

Project Title: Machine Learning Tasks

This repository contains three key machine learning tasks focusing on self learning and improvement. The tasks are organized as separate scripts and Jupyter notebooks for easy reference.

Tasks Overview

Task 1: MOVIE GENRE CLASSIFICATION

• Description: Create a machine learning model that can predict the genre of a movie based on its plot summary or other textual information. You can use techniques like TF-IDF or word embeddings with classifiers such as Naive Bayes, Logistic Regression, or Support Vector Machines.

• Goal: The goal of this task is to predict the genre of a movie based on its plot summary .

Task 2: CREDIT CARD FRAUD DETECTION

• Description: Build a model to detect fraudulent credit card transactions. Use a dataset containing information about credit card transactions, and experiment with algorithms like Logistic Regression, Decision Trees, or Random Forests to classify transactions as fraudulent or legitimate.

• Goal: The goal of this task is to detect fraudulent credit card transactions. Use a dataset containing information about credit card transactions.

Task 3: CUSTOMER CHURN PREDICTION

• Description: Develop a model to predict customer churn for a subscription-based service or business. Use historical customer data, including features like usage behavior and customer demographics, and try algorithms like Logistic Regression, Random Forests, or Gradient Boosting to predict churn.
• Goal: The goal of this task is to to predict customer churn for a subscription-based service or business