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Deep Learning CNN Convolutional Neural Networks with Python - Why Derivatives
This video explains the need of derivatives. 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.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - What Is Chain Rule
This video explains about the chain rule. 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.
Curated Video
Python In Practice - 15 Projects to Master Python - Generating the Final Report
This video explains generating the final report. This clip is from the chapter "Data Science Project 1" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on data science project 1.
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Python In Practice - 15 Projects to Master Python - Creating a Function to Smartly Round Decimal Points in a Result of Addition
This video explains the functions exercise to create a sum_r( ) function. This clip is from the chapter "Functions" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on functions.
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Machine Learning Random Forest with Python from Scratch - Impurity
Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...
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Data Science and Machine Learning (Theory and Projects) A to Z - Geographic Maps with Folium: Geographic Maps with Folium using COVID-19 Data Quiz
In this video, we will cover geographic maps with Folium using COVID-19 data quiz. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Weights Initializations
In this video, we will cover DNN weights initializations. 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 this...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Early Stopping
In this video, we will cover DNN Early Stopping. 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 this section, we...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: convergence Animation
In this video, we will cover convergence animation.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Batch Minibatch Stochastic
In this video, we will cover batch minibatch stochastic.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Control Flow in Python: Loops Practice-Sorting Problem
In this video, we will cover loops practice-sorting problem. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Building Machine Learning Model from Scratch: Minimum-to-mean Distance Classifier from Scratch- Part 1
In this video, we will cover minimum-to-mean distance classifier 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)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Basics of Programming: Sorting Problem in Python
In this video, we will cover sorting in Python. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" 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 - Pandas for Data Manipulation and Understanding: Pandas Rolling
In this video, we will cover Pandas Rolling. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with 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 - Gradient Descent in RNN: Why Gradients
In this video, we will understand why gradients. 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 to Z".In this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Why Derivatives
In this video, we will understand why derivatives. 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,...
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Redshift Sort Keys
This video explains how to select the Amazon Redshift sort keys. This clip is from the chapter "Domain 4: Analysis" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, you will learn how to build a...
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Data Structures and Algorithms The Complete Masterclass - Selection Sort Visualization
This video focuses on selection sort visualization. This clip is from the chapter "Algorithm: Sorting Elementary" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to sorting elementary.
Curated Video
Data Structures and Algorithms The Complete Masterclass - Selection Sort Complexity
This video focuses on selection sort complexity. This clip is from the chapter "Algorithm: Sorting Elementary" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to sorting elementary.
Curated Video
Data Structures and Algorithms The Complete Masterclass - Implementing Selection Sort
This video explains how to implement selection sort. This clip is from the chapter "Algorithm: Sorting Elementary" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to sorting elementary.
Curated Video
Data Structures and Algorithms The Complete Masterclass - Implementing a Min Stack
This video demonstrates how to implement a min stack. This clip is from the chapter "Question 2: Min Stack" of the series "Data Structures and Algorithms: The Complete Masterclass".This section explains the concept of a min stack.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Axis Limits
In this video, we will cover Matplotlib Axis Limits. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Graph Transformation
This video shows the process for solving the problems presented in IGCSE A June 2018 paper 1H Q17, which covers graph transformation. It requires the learner to determine the minimum point of the curve for a given equation. It also asks...
Curated Video
Finding the Value of the Derivative of a Curve Using Differentiation
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1HR Q19, which involves differentiation. By the end of the video, learners will understand the concept of differentiation and its application to...