Spring 2024 AI Course Projects Repository

This repository contains a collection of projects, assignments, and related materials completed as part of the course requirements. Below is an overview of the contents and organization of this repository.

Table of Contents

1. Introduction
2. Projects
3. Assignments
4. Usage
5. License

Introduction

In this course, we explored various topics and applications of Artificial Intelligence (AI), ranging from machine learning algorithms to natural language processing techniques. The projects and assignments included in this repository demonstrate my understanding and implementation of these concepts.

Projects

This section contains detailed descriptions and implementations of the projects completed during the course. Each project is organized into its own directory and includes relevant code, documentation, and any additional resources.

• Project 1: Topic Modeling with LDA

  • Description: Implementation of Latent Dirichlet Allocation (LDA) for topic modeling on a dataset of news articles.
  • Directory: project1-topic-modeling-lda/

• Project 2: Image Classification using Convolutional Neural Networks (CNNs)

  • Description: Training a CNN model to classify images from the CIFAR-10 dataset.
  • Directory: project2-image-classification-cnn/

• Project 3: Reinforcement Learning with OpenAI Gym

  • Description: Implementation of various reinforcement learning algorithms to solve classic control problems in OpenAI Gym environments.
  • Directory: project3-reinforcement-learning-openai-gym/

Assignments

This section includes assignments completed throughout the course. Each assignment is contained within its respective directory and may include code, reports, or other relevant materials.

• Assignment 1: Linear Regression

  • Description: Implementation of linear regression on a synthetic dataset to predict housing prices.
  • Directory: assignment1-linear-regression/

• Assignment 2: Sentiment Analysis

  • Description: Performing sentiment analysis on movie reviews using machine learning techniques.
  • Directory: assignment2-sentiment-analysis/

Usage

Feel free to explore the contents of this repository and utilize any code or resources for your reference or learning purposes. However, please respect the academic integrity policies of your institution and refrain from directly copying or submitting the work as your own.

License

This repository is licensed under the MIT License. You are free to use, modify, and distribute the contents of this repository for personal or educational purposes. See the LICENSE file for more details.