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Statistics for Data Science and Business Analysis - What is a Margin of Error and Why is it Important in Statistics?
This video explains about margin of error and its importance in statistics. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business Analysis".This section focuses on basic to advanced...
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Probability Statistics - The Foundations of Machine Learning - Dispersion and Spread in Data, Variance, Standard Deviation
In this video, we will cover dispersion and spread in data, variance, standard deviation. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section,...
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PMP Certification Training - Control Cost
This video introduces you to control cost.
This clip is from the chapter "Project Cost Management" of the series "PMP® Certification Training".This section explains project cost management.
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PMI-RMP Certification Training - Conducting Risk Audit
This video explains conducting risk audit. This clip is from the chapter "Monitor Risk" of the series "PMI-RMP® Certification Training".This section explains techniques to monitor risks.
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Probability Statistics - The Foundations of Machine Learning - Dispersion Exploration Through Code
In this video, we will cover dispersion exploration through code. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will cover measures...
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PMP Certification Training - Monitor Stakeholder Engagement
This video explains how to monitor stakeholder engagement. This clip is from the chapter "Project Shareholder Management" of the series "PMP® Certification Training".This section explains project shareholder management.
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PMP Certification Training - Monitor and Control Project Work
This video explains monitoring and controlling project work. This clip is from the chapter "Project Integration Management" of the series "PMP® Certification Training".This section explains project integration management.
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PMP Certification Training - Control Schedule
This video explains controlling the schedule. This clip is from the chapter "Project Schedule Management" of the series "PMP® Certification Training".This section explains project schedule management.
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PMP Certification Training - Case Study - 9
This video is a case study on a multinational company. This clip is from the chapter "Case Studies" of the series "PMP® Certification Training".This section explains various case studies.
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Criteria
In this video, we will cover PCA criteria. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Machine Learning Random Forest with Python from Scratch - Overfitting and Underfitting
In this video, you will learn about overfitting, a modeling error when a model performs well in training but not in testing, and underfitting, where the model neither performs well during training nor during testing. This clip is from...
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Reinforcement Learning and Deep RL Python Theory and Projects - PyTorch Installation and Tensors Introduction
This video explains PyTorch installation and introduction to Tensors. 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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Data Science and Machine Learning (Theory and Projects) A to Z - Object Detection: Shift Scale Rotation Invariance
In this video, we will cover shift scale rotation invariance. 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...
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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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Fundamentals of Machine Learning - PCA
This video explains a lab session on Eigenfaces using PCA. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear regression, ridge regression,...
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Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - T-Test Independent Samples Overview (Example)
This is an overview (example) of t-test independent samples analysis. This clip is from the chapter "Statistical Analysis" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section focuses on...
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Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Variance
In this video, we will cover variance. 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 this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Weight Initialization
In this video, we will cover weight initialization.
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Rust Programming Master Class from Beginner to Expert - Functions within a Trait
In this video, we will cover functions within a trait. This clip is from the chapter "Structures, Traits, Generics, Enums" of the series "Rust Programming Master Class from Beginner to Expert".In this section, we will be exploring...
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Practical Data Science using Python - Principal Component Analysis - Computations 2
This video explains Eigenvalues and Eigenvectors. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using PCA.
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Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Multicollinearity
This video explains multicollinearity. 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 section focuses on SAS...
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Fundamentals of Machine Learning - ROCAUC
In this final lab, you will learn about ROC-AUC (Receiver Operating Characteristic Curve-Area Under Curve). This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Max Variance Formulation
In this video, we will cover PCA Max Variance Formulation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction 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 - Feature Extraction: PCA Derivation
In this video, we will cover PCA derivation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...