From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them.



This video will walk you an overview about t
he Python.
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From the section: Regression. In this section, you are going to learn about Regression.<b<br/>r/>

Regression: Evaluate Model Performance

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Getting Started with Artificial Intelligence with Python. In this section, learners are introduced to Artificial Intelligence and the libraries they will be using for the rest of the course, including NumPy, matplotlib,...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols.



Routing Introduction: Types of Routing Protocols...

From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a...

From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research...

From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In...

From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python.



Simple...

From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research...

From the section: Security Test Using Adversarial Attack. In this section, you will test any AI system against the latest attacks with the help of simple tools.



The aim of this video is to demonstrate that all approaches...

From the section: Introducing Network Security. This section provides Information about Overview of Network security, Test scope of Networks. It also includes Installation Procedure of Virtual Machines. For example: Kali Linux...

From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols.



Routing Introduction: EIGRP - advanced distance...

From the section: Power Supplies. Here, we check our power supply, mount the power supply and learn how to cool our PC. If the power supply fails, a system simply will not operate. There are simple tricks and tips to diagnose and...

From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...

From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them. This video will give you an overview of the variables and data types. • Create...

From the section: Searching in Graphs. In this section, we will see what we are searching for. Also, we will look at how to use and implement Breadth-First Search and Depth-First Search along with a simple puzzle game...

From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB...

From the section: Linked Lists. Linked Lists: Big O Notation and Calculating the Runtime of a Function<b<br/>r/>

Linked Lists: Big O Notation and Calculating the Runtime of a Function

From the section: Model-Free Prediction and Control With Monte Carlo (MC). In this section, we will learn one of two improvements on DP – Monte Carlo, a method which does not require a model of the environment. We talk about a new...

Two common statistics that are helpful to know about any college major are: how much money you can expect to make, and the amount of job opportunities. Here I outline the statistics for many of the most majors and...

From the section: Essential Peripherals. In this section, we learn more about optical media, USB standard, configure USB’s for keyboard and mIce. Shiny optical discs are an excellent media for transporting data and are still a very...

From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary...