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