Curated Video
Python In Practice - 15 Projects to Master Python - Training the Model
This video explains training the model. This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.
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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.
Curated Video
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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Random Solution
This video explains implementing the Random solution. This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Naive Random solution.
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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 - 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...
Curated Video
Python In Practice - 15 Projects to Master Python - What Is Artificial Intelligence?
This video explains Artificial Intelligence.
This clip is from the chapter "Artificial Intelligence" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on Artificial Intelligence.
Curated Video
Fundamentals of Machine Learning - Logistic Regression
This video explains logistic regression with a little bit of mathematics behind it. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 5
In this final part, we will test our model. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be working on our final project in...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Oversampling and Adjusting for Oversampling
This video explains oversampling and adjusting for oversampling. This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - 3 Phase Multiple Imputation Process Using SAS
This video focuses on a three-phase multiple imputation process using SAS. This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data...
Curated Video
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Python 6
In this video, we will cover language modelling next word prediction Python 6. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Derived Features Histogram of Gradients Local Binary Patterns
In this video, we will cover derived features histogram of gradients local binary patterns. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...
The Guardian
How my near-death experience changed my life
After David Ditchfield was dragged under a moving train, the way he looked at death changed. Before his accident he didn’t consider the afterlife, but now Ditchfield says he knows there is nothing to fear after we die. He tells Leah what...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Sliding Window Object Localization
This video talks about the sliding window object localization. This clip is from the chapter "YOLO" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on YOLO (You Only Live Once).
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Practical Tips
This video showcases some practical tips. This clip is from the chapter "Transfer Learning" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on transfer learning.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - DropOut, Early Stopping and Hyperparameters Solution
This is a solution video on DropOut, early stopping, and hyperparameters. 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...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Classification Pipeline
This video demonstrates classification pipeline. 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.
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Building the CNN Model
In this video, you will learn how to build the Convolutional Neural Networks (CNN) model. This clip is from the chapter "Implementation of CNN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In...
Curated Video
Practical Data Science using Python - Support Vector Machine Predictions
This video explains Support Vector Machine predictions. This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section explains advanced...
Curated Video
Agile Project Management - How to Use Empirical Evidence for Timely Delivery
This video explains how to use empirical evidence for timely delivery. This clip is from the chapter "Meeting Project Deadline with Agile Scrum" of the series "Agile Project Management".This section introduces you to meeting project...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Dropout
This video explains about the DNN Dropout. 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.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Tips for Accuracy Improvement
This video demonstrates tips for accuracy improvement. 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...