Apply your AI knowledge through practical projects, build your portfolio, and gain real-world experience
Build a simple rule-based chatbot using Python and NLTK. Learn the basics of natural language processing and dialog systems.
Create an image classifier using TensorFlow/Keras to recognize different objects in images. Learn about CNNs and transfer learning.
Train a reinforcement learning agent to play a game using OpenAI Gym. Implement Q-learning or policy gradient methods.
Build a model that can classify text as positive, negative, or neutral sentiment. Use LSTMs or Transformers for better accuracy.
Implement a face detection system using OpenCV and pre-trained models. Learn about computer vision basics and Haar cascades.
Create a text generation model using GPT-2 or similar transformers. Fine-tune on custom datasets for specific domains.
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