Curated Video
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.
Curated Video
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...
Curated Video
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...
Curated Video
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...
Curated Video
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...
Curated Video
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...
Curated Video
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...
Curated Video
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...
Curated Video
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...
Curated Video
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...
Brian McLogan
Finding the domain range and graphing a quadratic
👉 Learn how to graph quadratics in standard form. A quadratic equation is an equation whose highest exponent in the variable(s) is 2. To graph a quadratic equation, we make use of a table of values and the fact that the graph of a...
Brian McLogan
Overview of functions zeros and increasing decreasing
👉 Learn how to determine increasing/decreasing intervals. There are many ways in which we can determine whether a function is increasing or decreasing but we will focus on determining increasing/decreasing from the graph of the function....
Brian McLogan
How to analyze a quadratic function to graph
👉 Learn the basics to understanding graphing quadratics. A quadratic equation is an equation whose highest exponent in the variable(s) is 2. To graph a quadratic equation, we make use of a table of values and the fact that the graph of a...