Curated Video
Python for Machine Learning - The Complete Beginners Course - Hierarchical Clustering
In this video, we will cover hierarchical clustering. This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
Curated Video
Python for Machine Learning - The Complete Beginners Course - Frequency Distribution
In this video, you will learn about frequency distribution. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the recommender...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Evaluating the Performance of the Regression Model
In this video, you will learn how to evaluate the performance of the regression model. This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Decision Tree Structure
In this video, we will cover the decision tree structure. This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Gradient Descent
This video explains about gradient descent. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Convergence Animation
This video explores convergence animation. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Classification Pipeline Solution
This is a solution video on classification pipeline. 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 Machine Learning - The Complete Beginners Course - Density-Based Clustering
In this video, we will cover density-based clustering. This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
Curated Video
Practical Data Science using Python - Regression Models and Performance Metrics
This video explains regression models 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 - Introduction to Stable Baseline
This video provides an introduction to Stable Baseline. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Target Network and Recap
This video explains about the target network and recap. 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.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Introduction and Recap
This video provides an introduction and recap to the section. 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.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Exercise Solution
This is an exercise solution video on gradient descent. 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 foundation...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Basics of Programming: FlowCharts and Pseudocodes
In this video, we will cover FlowCharts and Pseudocodes. 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...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Sorting Algorithm – Introduction
This video provides an introduction to the sorting algorithm. 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...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Bubble Sort Visualization
This video focuses on bubble 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 - Bubble Sort
This video explains the concept of bubble 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 - Adelson-Vekskii Landis (AVL) Trees versus Red Black Trees
This video highlights the difference between AVL trees and red black trees. This clip is from the chapter "Data Structures - Trees" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - NumPy for Numerical Data Processing: Arrange, Random, and Reshape-Part 2
In this video, we will cover arrange, random, and reshape-part 2. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Basics of Programming: Example of Algorithms-Sorting Problem
In this video, we will cover an example of algorithms for 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Kernel PCA Versus ISOMAP
In this video, we will cover Kernel PCA versus ISOMAP. 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)...
TLDR News
Why Did Elon Even Want to Buy Twitter - TLDR News
Yesterday it was announced that Twitter had accepted Elon Musk's offer to buy them for $44 billion. So in this video we outline how the Elon managed to persuaded Twitter and what the hell he even wants to do with it?
TLDR News
Housing Crisis: Johnson's Last Ditch Attempt To Solve It - TLDR News
Britain's housing crisis is getting worse with prices vastly out stripping wages. When he came into office he promises to solve the crisis, but all his plans have failed (mainly due to his own MPs), so let's explain his new last ditch...
Zach Star
The Applications of Algorithms
A huge part of computer science is learning about algorithms and how to apply them. Algorithms can be very simple and very complex and in this video I outline some algorithms with practical applications that you can even apply to your life.