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No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Versioning
In this video, we will cover versioning. This clip is from the chapter "Other Important Features in SageMaker Canvas" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, you will learn some other...
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Python for Deep Learning - Build Neural Networks in Python - Compiling the Artificial Neural Network
In this video, you will learn how to compile the Artificial Neural Network. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Training the Model
In this video, you will learn how to train the model. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...
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Practical Data Science using Python - Linear Regression Model Building
This video explains linear regression model building. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Deep Learning CNN Convolutional Neural Networks with Python - Sliding Window Implementation
This video explains the implementation of sliding window. This clip is from the chapter "Object Detection" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the methods of object detection.
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Deep Learning CNN Convolutional Neural Networks with Python - Resnet
This video explains about Resnet. This clip is from the chapter "Classical CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on classical CNNs.
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Deep Learning CNN Convolutional Neural Networks with Python - FeedForward FullyConnected MLP
This video talks about the FeedForward FullyConnected MLP. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of...
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Deep Learning CNN Convolutional Neural Networks with Python - DNN Architecture
This video demonstrates the DNN architecture. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...
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Deep Learning CNN Convolutional Neural Networks with Python - Convergence Animation
This video explores convergence animation. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural...
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Practical Data Science using Python - Linear Regression Model Optimization
This video explains linear regression model optimization. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Python In Practice - 15 Projects to Master Python - Creating a Classification Model
This video helps in creating a classification model. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning with Python.
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Reinforcement Learning and Deep RL Python Theory and Projects - Train RL Model
This video explains about training the RL model. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
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Reinforcement Learning and Deep RL Python Theory and Projects - Evaluation and Testing
This video is on evaluation and testing. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable Baselines...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Early Stopping
This video explains about DNN early stopping. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for deep RL.
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Activation Functions in PyTorch
This video demonstrates about the DNN activation functions in PyTorch. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the...
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Reinforcement Learning and Deep RL Python Theory and Projects - Changing Policy Architecture
This video explains about changing policy architecture. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
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Reinforcement Learning and Deep RL Python Theory and Projects - Callbacks and Early Stopping
This video explains about callbacks and early stopping. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
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DevOps Complete Course - DevOps Introduction
This video provides an overview of DevOps and covers who can get the most out of this course. This clip is from the chapter "Introduction to the Course" of the series "DevOps Complete Course".This section provides an introduction to the...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Optimizations
This video explains about DNN optimizations. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for deep RL.
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Machine Learning Random Forest with Python from Scratch - Importing Data, Helper Functions
Before creating a decision tree, we will first learn to import our dataset using Pandas. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from Scratch©".This section...
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AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon SageMaker
This video focuses on the Amazon SageMaker service. This clip is from the chapter "Appendix-Machine Learning Topics for the Amazon Web Services (AWS) Certified Big Data Exam" of the series "AWS Certified Data Analytics Specialty 2021...
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Data Science and Machine Learning (Theory and Projects) A to Z - Yolo: Yolo Introduction
In this video, we will cover Yolo introduction. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Vocabulary Index
In this video, we will cover language modelling next word prediction vocabulary index. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction - Deep learning: Artificial Neural Networks with Python
In this video, we will cover a quick introduction to this section. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...