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PMI-RMP Certification Training - Perform Qualitative Risk Analysis Process – Tools and Techniques
This video explains the qualitative risk analysis process – tools and techniques. This clip is from the chapter "Perform Qualitative Risk Analysis" of the series "PMI-RMP® Certification Training".This section explains performing...
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PMI-RMP Certification Training - Learning Objective - Perform Qualitative Risk Analysis
This video introduces you to the learning objective. This clip is from the chapter "Perform Qualitative Risk Analysis" of the series "PMI-RMP® Certification Training".This section explains performing qualitative risk analysis.
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PMI-RMP Certification Training - Case Study 3
This video is a case study on qualitative risk analysis. This clip is from the chapter "Perform Qualitative Risk Analysis" of the series "PMI-RMP® Certification Training".This section explains performing qualitative risk analysis.
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Practical Data Science using Python - Linear Regression OLS Assumptions and Testing
This video explains linear regression OLS assumptions and testing. 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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Practical Data Science using Python - Linear Regression Model Evaluation and Optimization
This video explains linear regression model evaluation and 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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Deep Learning CNN Convolutional Neural Networks with Python - YOLO Anchor Boxes
This video explains about the YOLO anchor boxes. 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).
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Deep Learning CNN Convolutional Neural Networks with Python - Extending to Multiple Layers
This video explains extending to multiple layers. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN What Is Loss Function Exercise Solution
This is an exercise solution video on the Loss function in DNN. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Uniform Distribution
In this video, we will cover uniform distribution. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Transformation of Random Variables
In this video, we will cover transformation of random variables. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in 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 - Continuous Random Variables: Exponential Python
In this video, we will cover Exponential Python. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 1
In this video, you will learn about maximum likelihood with the help of an example. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Intuitive Understanding of Logistic Regression
This video explains intuitive understanding of logistic regression. This clip is from the chapter "Introduction to SAS Predictive Modeling Using Logistic Regression" of the series "Complete SAS Programming Guide - Learn SAS and Become a...
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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 - Sets: Venn Diagrams Operations
In this video, we will cover Venn diagrams operations. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Random Variables in Real Datasets Solution 01
In this video, we will cover random variables in real datasets solution 01. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory...
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Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Random Variables Examples Exercise 01
In this video, we will cover random variables examples exercise 01. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in 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 - Random Variables: Binomial Random Variables
In this video, we will cover binomial random variables. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Binomial Python Practice
In this video, we will cover binomial python practice. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Bernulli Trail Python Practice
In this video, we will cover Bernulli Trail Python practice. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Versus Statistics
In this video, we will cover probability versus statistics. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models Independence
In this video, we will cover probability models independence. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models Conditional Independence
In this video, we will cover probability models conditional independence. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory...