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This repository contains all of the data of the MOOCs that I have taken.

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MOOCs

Contains all the data regarding the MOOCs that I have personally studied.

Course List

S No. Course Faculty Certificates Skills
1. Neural Networks and Deep Learning Andrew Ng 3G94WMR432EK Deep Learning from Scratch, TensorFlow
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Andrew Ng Z659SG7D22SG Hyperparameter Tuning, DL
3. Structuring Machine Learning Projects Andrew Ng 4KWP4593LP53 Managing DL/ML Projects
4. Convolutional Neural Networks Andrew Ng V8N6SVNRZS2J CNNs, Architectures, Different ConvNet Architectures
5. Sequence Models Andrew Ng G8GZ7ZJFJCUQ NLP(Natural Language Processing), LSTMs(Long Short-Term Memory) Networks, RNNs(Recurrent Neural Networks)
6. Deep Learning Specialization Andrew Ng WXBN3CDY3J33 Comprises of the courses listed above from 1-5
6. Secure and Private AI Andrew Trask Pytorch, Differential Privacy
7. Cryptography 1 Dan Boneh
8. Pytorch Tutorials Soumith Chintala Audit
9. AWS DeepRacer Scholarship Incomplete AWS SageMaker, AWS RoboMAker, Reinforcement Learning
10. TensorFlow in Practice Specialization Laurence Moroney TensorFlow, Keras
11. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Laurence Moroney TensorFlow, Keras, CNN
12. Convolutional Neural Networks in TensorFlow Laurence Moroney TensorFlow, Keras, CNN
13. Practical Reinforcement Learning Alexander Panin Open AI Gym, RL
14. Full Stack Deep Learning Pieter Abbeel, Josh Tobin No Certificate Shipping DL Projects
15. AI for Healthcare Nanodegree Healthcare Niche