Packt
PMI-RMP Certification Training - Risk Data Quality Assessment
This video explains risk data quality assessment. This clip is from the chapter "Perform Qualitative Risk Analysis" of the series "PMI-RMP® Certification Training".This section explains performing qualitative risk analysis.
Flipping Physics
Cross Product Torque (with a Cross Product Review)
Torque as the cross product is introduced. How to actually perform the cross product using matrices is reviewed and 4.5 examples are walked through. This is an AP Physics C: Mechanics topic. Content Times: 0:00 Torque Review 0:55 Cross...
Curated Video
Practical Data Science using Python - Logistic Regression - Model Optimization 2
This video demonstrates how to predict the level by taking 0.3 as the optimum threshold. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
Curated Video
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Linearity Exercise Solution
In this video, we will cover machine learning model linearity exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Curated Video
REST APIs with Flask and Python - The "in" Keyword in Python
This video explains the "in" keyword in Python. This clip is from the chapter "A Full Python Refresher" of the series "REST APIs with Flask and Python".This section covers the various concepts that will help refresh your Python knowledge.
Curated Video
Java Interview Guide : 200+ Interview Questions and Answers - Arrays
Miscellaneous Topics: Arrays This clip is from the chapter "Miscellaneous Topics" of the series "Java Interview Guide : 200+ Interview Questions and Answers".This section addresses some miscellaneous topics of Java.
Curated Video
Business Intelligence with Microsoft Power BI - with Material - Formatting Numbers in a Table
This video explains how to format numbers in a table. This clip is from the chapter "Tables and Matrix in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section provides an introduction to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Categorical Features
In this video, we will cover categorical features. 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...
Curated Video
Business Intelligence with Microsoft Power BI - with Material - Hierarchies in a Matrix
This video demonstrates the hierarchies in a matrix. This clip is from the chapter "Tables and Matrix in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section provides an introduction to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Building Machine Learning Model from Scratch: Linear Regression from Scratch- Part 1
In this video, we will cover linear regression from scratch- part 1. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Analytics using Python Visualizations - Plotting Images and Clustering
This video explains plotting images and clustering. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to Matplotlib...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Confusion Matrix - Classification Algorithms: K-Nearest Neighbors
In this video, you will learn about results prediction and confusion matrix. This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's Course".In...
Curated Video
Practical Data Science using Python - NumPy Arrays 1
This video explains the NumPy library. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Problem Setup - Neural Style Transfer
This video demonstrates the problem setup. This clip is from the chapter "Neural Style Transfer" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the neural style transfer.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Pooling Tensors
This video talks about pooling Tensors. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural network...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Object Detection Activity
This is an activity video on object detection. 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 - Predicting the Test Set Results
In this video, you will learn how to predict the test set results. 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 will...
Curated Video
Practical Data Science using Python - Classification Problems and Performance Metrics
This video explains classification problems and performance metrics. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Moving Avg Implemented
This video explains the implementation of Moving Avg. This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
Packt
Fundamentals of Neural Networks - Tensor and Matrix
This video explains what we mean by Tensor and Matrix. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start...
Curated Video
Fundamentals of Neural Networks - Lab 2 - Introduction to TensorFlow – Remove the Throat-Clearing Sound in the Start of the Video
This video demonstrates some basic operations in TensorFlow such as objects and we will apply some mathematical operations to the Tensor objects. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
Mister Simplify
The Boston Matrix - Simplest explanation ever
BCG's Boston Matrix is a simple tool used in Business and Marketing strategy development. It's used to analyse a business's portfolio of products / brands and understand which brands to focus on for best returns.
Curated Video
Business Intelligence with Microsoft Power BI - with Material - Conditional Formatting in a Matrix
This video explains how to perform conditional formatting in a matrix. This clip is from the chapter "Tables and Matrix in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section provides an...