sinumariam/CODSOFT

This Repository contains the 3 projects that I completed during my Machine Learning Internship with CODSOFT.

CODSOFT--Machine Learning Internship

This Repository contains the projects I completed during my Machine Learning Internship with CODSOFT

Tasks

Task 1. MOVIE GENRE CLASSIFICATION

Problem Statement:

• Create a machine learning model that can predict the genre of a movie based on its plot summary or other textual information.
• Use techniques like TF-IDF or word embeddings with classifiers such as Naive Bayes, Logistic Regression, or Support Vector Machines.
• Dataset : https://www.kaggle.com/datasets/hijest/genre-classification-dataset-imdb

Task 2.CREDIT CARD FRAUD DETECTION

Problem Statement:

• 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.
• Dataset Link : https://www.kaggle.com/datasets/kartik2112/fraud-detection

Task 3.SPAM SMS DETECTION

Problem Statement:

• Build an AI model that can classify SMS messages as spam or legitimate.
• Use techniques like TF-IDF or word embeddings withclassifiers like Naive Bayes, Logistic Regression, or Support Vector Machines to identify spam messages
• Dataset Link : https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset