Certifications
Machine Learning Specialization Certificate
• Built supervised, unsupervised, and multi-class models using NumPy, scikit-learn, and TensorFlow.
• Developed neural networks, decision trees, and ensemble methods for classification and prediction.
• Created recommender systems and deep reinforcement learning models.
TensorFlow Developer Specialization Certificate
• Applied TensorFlow best practices to train neural networks for computer vision and NLP tasks.
• Used image augmentation and dropout to handle real-world data and prevent overfitting.
• Built NLP systems with RNNs, GRUs, and LSTMs trained on text repositories.
Introduction to Attention-Based Neural Networks
• Learned the fundamentals of attention-based neural networks for advanced deep learning tasks.
• Explored attention mechanisms for improving model performance in NLP and computer vision.
• Applied attention techniques to enhance sequence-to-sequence and transformer-based models.