🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/advance....d-artificial-intelli
This video on "Deep Learning with Python" will provide you with detailed and comprehensive knowledge of Deep Learning, How it came into emergence. The various subparts of Data Science, how they are related, and How Deep Learning is revolutionalizing the world we live in.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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🔥Intellipaat AWS training: https://intellipaat.com/aws-ce....rtification-training
In this video on AWS Training, you will learn what is AWS, AWS Certification paths, AWS Job Roles, AWS Services, AWS EC2, AWS RDS, AWS S3, AWS Cloud front, AWS IAM, AWS Cloud Formation, AWS IAM, AWS KMS, AWS SES, AWS Opsworks, Amazon Aurora, AWS Cloudfront, AWS Elastic Beanstalk, AWS Glacier, AWS Glacier, Roles of an AWS SysOps Administrator, AWS Monitoring Services, What is Cloud Security, AWS Interview Questions.

👇Following topics are covered in this AWS tutorial:
00:00 - AWS Course Training
01:29 - Introduction to AWS
28:05 - AWS Certifications Paths
37:15 - AWS Job Roles
41:03 - AWS Services
42:05 - AWS EC2
45:13 - AWS RDS
47:39 - AWS S3
49:15 - AWS CloudFront
51:14 - AWS IAM
52:21 - AWS CloudFormation
54:14 - How to Create an AWS Account?
01:16:55 - AWS Services - Storage
01:34:38 - AWS Services - Database
01:38:49 - AWS Services - Security
01:39:05 - AWS Services - IAM
01:41:25 - AWS Services - KMS
01:42:00 - AWS Services - Management
01:47:55 - AWS Services - Customer Engagement
01:54:32 - AWS Pricing
02:01:59 - AWS Hands-on
02:24:39 - AWS Lambda Hands-on
02:26:52 - Distributed Application Architecture
02:32:55 - AWS Lambda?
03:15:57 - AWS Elastic Beanstalk
03:35:18 - AWS DynamoDB
03:44:57 - AWS SES
03:57:43 - Amazon Elastic Block Storage
04:15:20 - Amazon CloudWatch
04:42:33 - AWS Opsworks
04:52:40 - How Cloudfront Works? Hands-on
04:59:51 - Amazon Route 53
05:07:38 - AWS SES
05:29:31 - EBS Volume Life Cycle
05:47:09 - Applying Amazon Auto Scaling for 3 Different Load Scenarios
05:59:55 - AWS Economics & AWS Billing/ Account Overview
06:33:00 - AWS Glacier
06:39:37 - AWS Elastic Compute Cloud
07:02:41 - EC2 Instance Types & Size
07:23:20 - What is Amazon RDS?
07:27:07 - Which AWS database to use?
07:31:56 - What is Amazon Aurora?
08:40:56 - AWS Code Deploy
09:15:17 - Roles of an AWS SysOps Administrator
09:28:20 - AWS Monitoring Services
09:42:17 - What is Cloud Security?
10:01:34 - AWS Interview Questions

✅ In This AWS Training is an end to end AWS tutorial where you will learn AWS from scratch & master all the advanced concepts quite easily.
#AWSCourse #AWSTraining #AWSTutorial #AWS #Intellipaat #CloudComputingTutorial

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#FullStackWebDeveloperCourse2024 #CompleteFullStackWebDeveloperCourse #FullStackWebDevelopment #FullStackWebDeveloper #WebDevelopment #Intellipaat

This Full Stack Web Development Course covers all the important skill sets required to get you a Full Stack Web Developer job!

This Full Stack Web Development Course will cover Introduction To Full Stack Web Development, Pre - Requisites of HTML, Fundamentals of HTML, Fundamentals of CSS, Interactivity using, Javascript, Introduction to NodeJS, NodeWebToolkit, Introduction to UI with React, Fundamentals of ReactJS, Project on Creating React App, Difference Between Angular and React. In the end, we’ll also discuss Full Stack Web Development Interview Questions.

This Full Stack Web Development Course video is suitable for those individuals who aspire to become Full Stack Web Developers.

✅ What is the full-stack developer in 2024?
Every full-stack developer should be familiar with skills: CSS and HTML ExpressJS and NodeJS Database administration systems Version management Platforms for web hosting, etc. Which stack will be in demand in 2024? In 2024, ReactJS and NodeJS will be two of the most popular web development stacks

🔵 Following topics are covered in this Full Stack Web Development Course:
00:00:00 - Introduction
00:02:47- Introduction To Full Stack Web Development
00:04:44 - Basic Components of a WebPage
00:10:56 - What is Web Hosting?
00:21:21 - Types of Networks
00:24:14 - EMBED Tag
00:46:36 - Who to Register a Website Name?
00:54:23 - Overview of CPanel
01:19:52 - Upload HTML Files Using the FTP Application
01:36:23 - Different Ways to Add CSS
01:42:35 - Fundamentals of CSS
01:54:59 - CSS Selectors
02:14:22 - What is Pseudo-Elements?
02:41:42 - Static Webpage vs Dynamic Webpage
02:45:47 - Embedding JavaScript in HTML Files
02:59:49 - Operators in JavaScript
03:08:54 - Loops in JavaScript
03:18:46 - Hands-On: DOM Manipulation
03:36:17 - Pop-Up Boxes in JavaScript
03:48:39 - Introduction to NodeJS
05:00:27 - NodeWebToolkit
07:03:21 - Fundamentals of ReactJS
08:53:15 - What is ReactJS?
09:03:41 - UI without ReactJS
09:53:56 - Lifecycle Methods
10:10:49 - Hands-On: Creating a React Component
10:53:48 - What is Bootstrap?
11:13:14 - Difference Between Angular and React
11:23:40 - Full Stack Web Development Interview Questions

➡️ About the Course
Our Full Stack Developer course will help you gain expertise in the latest front-end and back-end technologies of Application Development. Gain hands-on experience with skills and technologies such as SQL, Java, Data Structures, JavaScript, HTML, CSS, NodeJS, React, etc. under the guidance of industry professionals. Get an executive post-graduation Full Stack Developer certification from iHUB DivyaSampark, IIT Roorkee & Microsoft to advance your career!

➡️Who should take this course?
☑️Anyone with a bachelor’s degree and a passion for full-stack web development
☑️Professionals looking to grow their careers in software development
☑️IT professionals with a bachelor’s degree looking to transition to full-stack development
☑️Project managers/product managers looking to up-skill
☑️Anyone who wants to build a full-stack developer portfolio

✅ Key Features - (Course Features)
👉🏼12 months live online instructor-led sessions
👉🏼100 Hrs Self-paced Videos
👉🏼300 Hrs Project & Exercises
👉🏼Learn from IIT Faculty & Industry Experts

What’s Covered in This Program? -
✅Programming Fundamentals
✅Object Oriented Programming
✅Exception Handling and Threading
✅Data Structures and Algorithms
✅Front End Development
✅Back End Development
✅System Design

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🚀 Intellipaat Advanced Certifications
🌕 Advanced Certification in Cloud Computing: https://intellipaat.com/advanc....ed-certification-clo
🌕 Advanced Certification in Data Science: https://intellipaat.com/advanc....ed-certification-dat
🌕 Advanced Certification in Full Stack Web Development: https://intellipaat.com/web-de....velopment-certificat

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***** Python Certification Training for Data Science: https://www.edureka.co/data-sc....ience-python-certifi *****
This Edureka video on "Machine Learning Tutorial" will help you get started with all the Machine Learning concepts. Below are the topics covered in this video:

1. Why Machine Learning?
2. What is Machine Learning?
3. Types of Machine Learning
4. What can you do with Machine Learning?
5. Machine Learning Demo in Python

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Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

#DataScience #MachineLearningTutorial #MachineLearningAlgorithm

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

About the Course

Edureka's Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.

Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.

Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.

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

Course Objectives

After completing this Data Science Certification training, you will be able to:

1. Programmatically download and analyze data
2. Learn techniques to deal with different types of data – ordinal, categorical, encoding
3. Learn data visualization
4. Using I python notebooks, master the art of presenting step by step data analysis
5. Gain insight into the 'Roles' played by a Machine Learning Engineer
6. Describe Machine Learning
7. Work with real-time data
8. Learn tools and techniques for predictive modeling
9. Discuss Machine Learning algorithms and their implementation
10. Validate Machine Learning algorithms
11. Explain Time Series and its related concepts
12. Perform Text Mining and Sentimental analysis
13. Gain expertise to handle business in future, living the present

- - - - - - - - - - - - - - - - - - -
Why learn Python for Data Science?


It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.

It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.

It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain.

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

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🔥 Edureka ML Master Program Certification (Use Code: YOUTUBE20) : https://www.edureka.co/masters....-program/machine-lea

This Edureka video on 'Machine Learning Roadmap' will give you an insight into why there is such a crazy demand for Machine learning in all industries these days. It then briefly touches on what machine learning is, and what are the skills the big companies are looking for in Machine Learning Professionals by taking a look at some job descriptions. Then the video gives you the roadmap to learn Machine Learning which will help you make it into the field or upgrade your career. The video then closes off with incredibly useful resources that learners could utilize to get ahead of their competition.

Following pointers are covered in this How to Become an AI Engineer:
00:00:00 Agenda
00:01:48 Why Machine Learning?
00:10:47 What is Machine Learning?
00:11:20 Skills Required
00:14:36 Machine Learning Roadmap
00:22:55 Useful Resources📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

🔵 DevOps Online Training:https://bit.ly/3r7xtvQ
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🌕 RPA Online Training: https://bit.ly/3LIqcKT
🔵 Python Online Training:https://bit.ly/3jbsAxr
🌕 Azure Online Training:https://bit.ly/3j8WOBa
🔵 GCP Online Training: https://bit.ly/3LHJb8g
🌕 Microservices Online Training:https://bit.ly/3r7Xwmt
🔵 Data Science Online Training: https://bit.ly/3r9dgFX

---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------

🔵 DevOps Engineer Masters Program: https://bit.ly/37p4goY
🌕 Cloud Architect Masters Program: https://bit.ly/35LP0SV
🔵 Data Scientist Masters Program: https://bit.ly/3NULA1q
🌕 Big Data Architect Masters Program:https://bit.ly/38qZTud
🔵 Machine Learning Engineer Masters Program:https://bit.ly/3ueP9rm
🌕 Business Intelligence Masters Program: https://bit.ly/3x9qpT5
🔵 Python Developer Masters Program:https://bit.ly/3j8YYkg
🌕 RPA Developer Masters Program: https://bit.ly/3JgqQ0g
🔵 Web Development Masters Program: https://bit.ly/3KlZJT1
🌕 Computer Science Bootcamp Program : https://bit.ly/3Kg70Uh
🔵 Cyber Security Masters Program: https://bit.ly/3uo98UN
🌕 Full Stack Developer Masters Program : https://bit.ly/3NUlVGb
🔵 Automation Testing Engineer Masters Program : https://bit.ly/3E0rFcZ
🌕 Python Developer Masters Program : https://bit.ly/3j8YYkg
🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax

--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

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Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat

This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.

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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. 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.
3. 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!

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About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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

** Machine Learning Training with Python: https://www.edureka.co/data-sc....ience-python-certifi **
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.

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#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining

How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. 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.
3. 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!
00:00 Introduction
00:37 Google Map
02:02 Facebook
03:58 Uber/Uber Eats
05:12 Amazon
06:16 iPhone
07:51 Tesla
09:48 Netflix
10:25 Moley
11:38 Google Translate
12:42 Kuka


- - - - - - - - - - - - - - - - -
About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

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

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

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

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