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@@ -147,17 +147,36 @@ Data Analysis and Visualization Capstone project from Data Science and Machine L
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# Bootcamps
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## [RL - Practical AI with Python and Reinforcement Learning - JP - ON HOLD](RL%20-%20Practical%20AI%20with%20Python%20and%20Reinforcement%20Learning%20-%20JP)
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## [RL - Practical AI with Python and Reinforcement Learning - JP - On Hold](RL%20-%20Practical%20AI%20with%20Python%20and%20Reinforcement%20Learning%20-%20JP)
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+[x]00. NumPy Crash Course
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+[x]01. Matplotlib Visualization
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+[x]02. Pandas and Scikit-learn
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+[x]03. ANNs
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+[x]04. CNNs
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+[x]05. Introduction to gym
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+[] 06. Classical Q Learning
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+[] 07. Deep Q Learning
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+[] 08. Deep Q Learning on Images
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+[] 09. Creating Custom Open AI Gym Environment
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+[ ]06. Classical Q Learning
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+[ ]07. Deep Q Learning
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+[ ]08. Deep Q Learning on Images
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+[ ]09. Creating Custom Open AI Gym Environment
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## [Tensorflow 2.0: Deep Learning and Artificial Intelligence - LP](Tensorflow%20-%20TF2%20Deep%20Learning%20and%20Artificial%20Intelligence%20-%20LP)
+[ ] Section 6 - RNN - Recurrent Neural Networks, Time Series, Sequence Data
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+[ ] Section 7 - NLP
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+[ ] Section 8 - Recommender Systems
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+[ ] Section 9 - Transfer Learning for Computer Vision
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+[ ] Section 10 - GANs
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+[ ] Section 11 - Deep Reinforcement Learning (Theory)
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+[ ] Section 12 - Stock Trading Project with DL
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+[ ] Section 13: Advanced Tensorflow Usage
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+[ ] Section 14: Low - Level Tensorflow
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+[ ] Section 15: In-Depth: Loss Functions
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+[ ] Section 16: In-Depth: Gradient Descent
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+[ ] Section 17 - 21: Misc
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## [DeepLearning.AI - Course 04.Sequences, Time Series and Predictions in Tensorflow](Tensorflow%20-%20DeepLearning.AI%20-%2004.Sequences%2C%20Time%20Series%20and%20Predictions)
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