Massive Open Online Courses (MOOC):

This repository consist of the programming assignments from the following courses:

DeepLearning Learning Specialization (Coursera)

This contains the programming exercise of the Coursera Deep Learning Specialization (by Prof. Andrew NG) consisting

• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models

Link: (https://www.coursera.org/specializations/deep-learning)

Natural Language Processing Specialization (Coursera)

This contains the programming exercise of the Coursera NLP Specialization (by Prof.Younes Bensouda Mourri and Google Research Scientist Łukasz Kaiser ) consisting

• Natural Language Processing with Classification and Vector Spaces
• Natural Language Processing with Probabilistic Models
• Natural Language Processing with Sequence Models
• Natural Language Processing with Attention Models

Link: (https://www.coursera.org/specializations/natural-language-processing)

Machine Learning (Coursera) from Andrew Ng - Stanford University

This contains the programming exercise of the Coursera Machine Learning course (ML008- https://www.coursera.org/course/ml) from Stanford University by Prof. Andrew NG.

Machine Learning Specialization (Coursera) - Washington University

This contains the programming exercise of the Coursera Machine Learning Specialization consisting

• Machine Learning Foundations: A Case Study Approach
• Machine Learning: Regression
• Machine Learning: Classification
• Machine Learning: Clustering & Retrieval

(https://www.coursera.org/specializations/machine-learning) from University of Washington by Prof. Emily Fox and Carlos Guestrin.