Welcome to my CODSOFT internship repository! This repository showcases the tasks I completed during my internship in the Machine Learning and Artificial Intelligence tracks.
In this task, I created a machine learning model to predict the genre of a movie based on its plot summary or other textual information. I utilized techniques like TF-IDF and classifiers such as Naive Bayes, Logistic Regression, and Support Vector Machines.
For this task, I built a model to detect fraudulent credit card transactions using a dataset containing transaction information. I experimented with algorithms like Logistic Regression, Decision Trees, and Random Forests to classify transactions as fraudulent or legitimate.
In Task 3, I developed a model to predict customer churn for a subscription-based service or business. I used historical customer data, including usage behaviour and demographics, and experimented with algorithms like Logistic Regression, Random Forests, and Gradient Boosting.
Task 4 involved building an AI model to classify SMS messages as spam or legitimate. I employed techniques like TF-IDF and classifiers like Naive Bayes, Logistic Regression, and Support Vector Machines to identify spam messages.
In this AI task, I created a simple chatbot that responds to user inputs based on predefined rules. I used if-else statements and pattern-matching techniques to identify user queries and provide appropriate responses.
Task 2 involved implementing an AI agent to play Tic-Tac-Toe against a human player. I used algorithms like Minimax with or without Alpha-Beta Pruning to make the AI player unbeatable.
In Task 4, I created a simple recommendation system that suggests items to users based on their preferences. I employed techniques like collaborative filtering or content-based filtering to recommend movies, books, or products to users.
For Task 5, I developed an AI application that can detect and recognize faces in images or videos. I used pre-trained face detection models and optionally added face recognition capabilities.
- You can find detailed code and explanations in the respective task folders for each task.
- If you have any questions or need assistance, feel free to reach out to me via email at azlaanranjha2003@gmail.com.
I'm grateful for the opportunity provided by CODSOFT, and I hope you find my work on these tasks insightful and informative. Thank you for visiting my GitHub repository!
#codsoft #internship #machinelearning #artificialintelligence