this one has us changing the min-height of the select element

step 55 link: https://www.freecodecamp.org/l....earn/2022/responsive
learn html forms by building a registration form playlist link: https://www.youtube.com/playli....st?list=PLktFju7xyBz



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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐞𝐚𝐜𝐭 𝐉𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/reactjs....-redux-certification
This Edureka video on React Components will help you in understanding the fundamentals of components in ReactJS.
00:00:00 Introduction
00:00:47 React Components
00:24:10 PROPS
00:28:20 State
00:40:07 Flow of Stateless and Stateful Components
00:41:05 Component Lifecycle

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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***** Tableau Certification Training : https://www.edureka.co/tableau....-certification-train *****
This Edureka Tableau Tutorial (Tableau Tutorial Blog: https://goo.gl/DaqKvp) helps you understand about Tableau in detail. This Tableau Tutorial is ideal for both beginners as well as professionals who want to master up their Tableau concepts.
00:00 Introduction
00:30 Agenda
00:53 What is Data Visualization
02:09 Power of Data Visualization
03:24 Scope of Visual Analytics
05:29 Why Tableau
07:18 What is Tableau
08:40 Tableau Architecture
11:45 Installing Tableau
12:31 Understanding Tableau
26:30 Practical Demo
47:25 Tableau- success stories
47:40 Summary

Check our complete Tableau playlist here: https://goo.gl/NTpehs

This Edureka Tableau Tutorial provides knowledge on what Business Intelligence is and get an introduction to Tableau as well.This Tableau tutorial also gives a sample use case using a data set containing state wise population and crime rate, to create a Horizontal bar graph and Symbol map to represent the data.

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Check our complete Tableau playlist here: https://goo.gl/NTpehs

#Tableau #TableauDashboard #TableauTraining #TableauTutorial #TableauCertification #TableauArchitecture #TableauDataAnalysis #TableauVisualization #MeasuresAndDimensions


How it Works?
This is a 5 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work
We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course

Edureka's Tableau Certification training is designed to help you become a top Tableau Professional. During this course, our expert Tableau instructors will help you:
Understand the need for visualization
Make advance insightful visuals
Perform scripting
Create comprehensive dashboards
Connect with multiple sources
Integrate Tableau with R
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Who should go for this course?

The following professionals can go for this course :
Data Scientists
Business Analysts
Statisticians and Analysts
Project Managers
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Why learn Tableau?

Tableau is a leader in Gartner's magic quadrant in BI & Data analytic field. Being used in various leading domains like Business Intelligence, Marketing, Big Data Hadoop, etc., Tableau is one skill set most professional wish to carry ahead in their career . As per Indeed.com, the mean salary of Tableau professional is $ 100,000.

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/digital-marketing (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video "𝐇𝐨𝐰 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐌𝐚𝐫𝐤𝐞𝐭𝐞𝐫" will guide you through the steps to learn and have a successful career in Digital Marketing. This video will help you to become a Digital Marketing in 2023.
00:00:00 Introduction
00:00:58 Why become a Digital Marketer
00:02:03 Who is Digital Marketer
00:02:50 Roles and Responsibilities
00:03:36 Digital Marketing Skills
00:05:18 How to become a Digital Marketer

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

This video on "Basics of Pyspark for beginners" will give you a brief understanding of PySpark, its key features, Usecases of Pyspark in the industry, Pyspark Dataframe, and many more. To Understand Pyspark and its use in the big data world, we must first understand Apache Spark. Therefore, this tutorial also covers the Apache Spark overview.

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🔥 Artificial Intelligence Engineer Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=10March2023CNNTutorialforBeginners&utm_medium=DescriptionFirstFold&utm_source=youtube

This "CNN tutorial for beginners" by Simplilearn will take you through the concept of CNN and why we use it. This CNN tutorial python explains Conventional Neural Network with a suitable example. In addition, we will use the MNIST dataset to demonstrate the concept of Conventional Neural Networks in image classification. Below are the topics we are covering in this CNN tutorial for beginners.

00:00 CNN tutorial for beginners
01:38 What is CNN?
03:18 How does CNN recognize images?
04:06 Layers in CNN
04:25 Convolution Layer
04:53 ReLU Layer
05:37 Pooling Layer
06:21 Structure of CNN
07:12 How exactly does CNN recognize an image
08:05 Hands-on lab Demo

🔥 Explore our Free Introduction to Artificial Intelligence Course with a Completion Certificate: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=10March2023CNNTutorialforBeginners&utm_medium=Description&utm_source=youtube

What is CNN

A convolutional neural network is a feed-forward neural network that is generally used to analyze visual images by processing data with grid-like topology. It’s also known as ConvNet. A convolutional neural network is used to detect and classify objects in an image.

Layers in a Convolutional Neural Network

A convolution neural network has multiple hidden layers that help in extracting information from an image. The three important layers in CNN are:

Convolution layer:- This is the first step in the process of extracting valuable features from an image. A convolution layer has several filters that perform the convolution operation. Every image is considered a matrix of pixel values.

ReLU layer:- ReLU stands for the rectified linear unit. Once the feature maps are extracted, the next step is to move them to a ReLU layer.
ReLU performs an element-wise operation and sets all the negative pixels to 0. It introduces non-linearity to the network, and the generated output is a rectified feature map.

Pooling layer:- Pooling is a down-sampling operation that reduces the dimensionality of the feature map. The rectified feature map now goes through a pooling layer to generate a pooled feature map.

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➡️ Professional Certificate Program In AI And Machine Learning

In collaboration with Purdue, our AI and ML Course will help you unlock your AI and ML potential. You'll study Machine Learning, Deep Learning, Computer Vision, NLP, Speech Recognition, and Reinforcement Learning with Simplilearn's AI ML course online.

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