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Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Detect lane lines in colored image
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] Detect lane lines in colored image
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Create a computer vision system using decision tree algorithms to solve a real-world problem : Python Basics: Tuples and Dictionaries
From the section: Python Crash Course [Optional]. In this section, we’ll continue diving into Python data structures with tuples and dictionaries, functions, Boolean Operations and Loops, and libraries like Pandas, MatPlotLib and Seaborn...
APMonitor
Install Python Packages with pip and conda
The package managers "pip" and "conda" allow users to install, update, or uninstall Python modules from a command line or directly from a Python script.
Programming Electronics Academy
Details of Using Arduino Libraries: Arduino Course 6.4
A walk through of using a code library with Arduino.
Curated Video
Learning R for Data Visualization (Video 6)
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
Curated Video
Python for Network Forensics 5.3: Exploitation
Once an attack vector has been found we will proceed with exploitation to take over the system. • Learn about a common attack vector through exploitable web services • Develop a Python-based reverse shell to gain access into the system •...
Curated Video
Python for Network Forensics 1.5: Introduction to Impacket
In this video, we will add breadth to our Python capability to extend functionality using Impacket. • Further expand our application to import Impacket • Decode raw packets using Impacket • Get a better understanding of encapsulation and...
Packt
Advanced Computer Vision Projects 3.4: Videos and Retraining
In this video, we’ll briefly cover how to extend the model to handle videos and how to retrain the model. • See that we can apply algorithms to videos by running frame-by-frame • Briefly go over instructions to retrain on existing or new...
Packt
Advanced Computer Vision Projects 1.1: The Course Overview
This video shows an entire overview of the course.
Curated Video
Mastering Tableau 2018.1, Second Edition 8.4: Clustering Data in Tableau
In this video, we’ll see how to cluster data in Tableau. • Understand clusters • Implement clustering in Tableau
Curated Video
Mastering Tableau 2018.1, Second Edition 3.3: Using the Data Interpreter
In this video, we’ll see the data interpreter in action. • Load the dataset into Tableau • Apply the data interpreter to the data
Curated Video
Tips, Tricks, and Techniques for Node.js Development 5.3: Clustering
Node.js is running a single process on a CPU, wasting other cores. Luckily for us, Node.js has a module to solve this for us and let us use multi-core. In this video, we will learn how to use this module. • Explain cluster module • Use...
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Learning D3.JS 5.0 10.4: Make It More Functional
In this video, we will add another JSON file with cities, population, longitude, and latitude, and make the cities visible. • Add the new JSON file • Add code to make the cities visible • View the result
Curated Video
Learning D3.JS 5.0 8.6: Adding Visual Information
In this video, we will create an area chart using the line chart. • Add some code to make the data more readable • Understand the area chart • Add the area chart
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Learning D3.JS 5.0 7.5: Working with Arrays
In this video, we will use arrays to simulate real-life examples. • Go through the array documentation • Use the array and alternate the domain() in the code • Use the console to check whether the result is correct
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Learning D3.JS 5.0 2.1: What Is an SVG?
In this video, we will learn about SVG, what it is, where we use it, what we can do with it, its advantages/disadvantages, and how D3.js handles them. • Understand the definition of SVG • Learn the properties of SVG • Know when we should...
Curated Video
Bug Bounty Program Certification 12.2: Install Drozer on Windows and Android Machines
This video will help you download and install Drozer in Android and Windows. • Download Drozer file • Install Drozer in Windows • Install drozer.apk in android phone
Curated Video
Bug Bounty Program Certification 11.4: Find Bugs in Coding Files and Break Algorithm
This video will help you find algorithm and complete the task. • Analyze source code to find algorithm used • Find out encryption key • Complete the task to encrypt the string
Curated Video
Bug Bounty Program Certification 10.1: Install Android Studio in Windows Machine and Setup
This video will help you understand how to setup lab for Android machine. • Download Android studio • Installation of Android studio • Create a Nexus phone using Android studio
Curated Video
Bug Bounty Program Certification 6.6: Infect Complete Network Using Malwares
In this video, you will see how to infect entire network using malwares. • Learn about various network attacks • Explore the process of network infection techniques • Explanation of malware infection in network
APMonitor
Plots in Python with Numpy and Matplotlib
Graphs or plots are effective at showing data. This introductory video demonstrates how to create a plot and adjust some of the basic characteristics of those plots such as the size of the trend, style (dashed, dotted, solid), add a...
Packt
State the purpose of network hardware : Crimping Cables
From the section: Essentials of Networking. In this section, we learn about WANS, Routers, cables and connectors. Networking uses many different types of cables such as coaxial, twisted pair, and even fiber-optic. These different cables...
Packt
State the purpose of network hardware : Introduction to Networking
From the section: Introduction to Computer Networks (ICND1). This Section introduces Computer Networks. This includes lectures on Physical Components, Topology, Speed etc. Introduction to Computer Networks (ICND1): Physical Components