Beginner AI Projects

Welcome! 👋
This repository contains simple AI projects that I created as a beginner to practice and build foundational skills in machine learning and deep learning.

Projects

1. MNIST Digit Classifier

• Dataset: MNIST Digits Dataset (Kaggle)
• Description: A basic image classification model built using Keras to recognize handwritten digits (0–9) from the MNIST dataset.
• Skills Practiced:
  • Neural Networks
  • Computer Vision
  • Keras and TensorFlow
• Status: ✅ Completed

2. Fashion MNIST Classifier

• Dataset: Fashion MNIST Dataset (Kaggle)
• Description: A deep learning model built using Keras to classify grayscale images of clothing items (e.g., shirts, shoes, bags) from the Fashion MNIST dataset.
• Skills Practiced:
  • Neural Networks
  • Computer Vision
  • Keras and TensorFlow
  • Model Evaluation
• Status: ✅ Completed

3. Breast Cancer

• Dataset: Breast Cancer Wisconsin (Diagnostic) DataSet (Kaggle)
• Description: A machine learning project focused on classifying tumors as malignant or benign based on features computed from breast mass cell nuclei. Numeric Data is trained on a CNN Model
• Skills Practiced:
  • Neural Networks
  • Convolutional Neural Network Model
  • Computer Vision
  • Keras and TensorFlow
  • Model Evaluation
• Status: ✅ Completed

4. SpaceShip Titanic (Coming Soon)

• Dataset: TBA
• Description: A future project based on the Spaceship Titanic dataset, aiming to build a classification model.
• Skills to Practice:
  • Data preprocessing
  • Classification models
  • Feature engineering
• Status: 🚧 In Progress

Getting Started

To run any of the projects:

1. Clone this repository:

   git clone https://github.com/your-username/your-repo-name.git
   cd your-repo-name