Data exploration and visualization
Feature scaling and preprocessing
Multi-class classification models
Convolutional neural network design
Image augmentation techniques
Model evaluation and optimization
Text preprocessing and tokenization
LSTM and transformer models
Fine-tuning BERT models
YOLO architecture and implementation
Transfer learning with pre-trained models
Real-time detection on video
Q-learning and DQN implementation
Environment setup and training
Evaluation and agent visualization
Intent recognition and slot filling
Context management and conversation flow
Integration with REST API