I have completed the following specializations from Stanford University and DeepLearning.AI through Coursera:
1. Machine Learning Specialization (Total 3 Courses - Approx 2 Months) Verify Certificate
Course 1 - Supervised Machine Learning Course 2 - Advanced ML Algorithms Course 3- Unsupervised Machine Learning
2. Deep Learning Specialization (Total 5 Courses - Approx 4 Months) Verify Certificate
Course 4 - Neural Networks and Deep Learning Course 5 - Hyper-parameters Tuning Course 6 - Structuring ML Projects Course 7 - Convolutional Neural Networks Course 8 - Sequence Models
3. Natural Language Processing Specialization (4 Courses - Approx 3 Months) Verify Certificate
Course 9 - NLP with Vector Spaces Course 10 - NLP with Sequence Models Course 11 - NLP with Probabilistic Models Course 12 - NLP with Attention Models
- Description: A deep learning model implementing CycleGAN for unpaired image-to-image translation tasks.
- Repository: CycleGAN Model for Image Translation
- Description: A project focused on semantic segmentation of aerial imagery using deep learning techniques.
- Repository: Aerial Image Segmentation
- Description: An AI-powered note-taking app, designed to help users manage and organize their tasks efficiently.
- Repository: AI Keep Notes Taking App
- Description: A machine learning model for recognizing and classifying human activities based on sensor data.
- Repository: ML Project: Activity Recognition