🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐚𝐥𝐞𝐬𝐟𝐨𝐫𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/salesfo....rce-administrator-an (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This "Salesforce App Builder" video by Edureka will help you understand about salesforce platform app builder certification and provide some important tips to help you pass the certification exam. It will also talk about salesforce app builder and will demonstrate how to build an application in salesforce using app builder.
Topics Covered:
00:00 Introduction
00:36 Agenda
01:17 What is Salesforce?
02:47 Services offered by Salesforce
04:46 App Builder Guide
06:52 App Builder Certification Guide
08:05 How to prepare for the Certification
10:24 salesforce App Builder
13:04 Demo

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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐞𝐚𝐜𝐭 𝐉𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/reactjs....-redux-certification (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka React tutorial on ES5 to ES6 Refactoring will help you understand the current syntax being used in React and what new features you can use in the upgraded version. This video helps you to learn the following topics:
00:00:00 Introduction
00:00:30 Agenda
00:01:45 Introduction to React components
00:02:45 Component Structure using ES5
00:03:46 Rendering a Component
00:05.48 Component Structure in Facebook
00:06:27 Component Structure using ES5
00:08:00 Pros and Cons of ES5 Syntax
00:09:02 Building Our Application
00:09:55 React Components using ES5 Code example
00:17:12 Benefits of ES6
00:19:38 Advantages of ES6
00:24:50 ES5 vs ES6
00:29:19 ES6 restructuring of code example
00:31:26 Building Tic Tac Toe game in React using ES6

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🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
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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.

🔥 Microservices Architecture Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/microse....rvices-architecture-
This Edureka's Microservices video on What are Microservices gives you an introduction to microservices and also shows the practical implementation of microservices with a demo.
In this video, you will learn the following:

1.Why Microservices
2.What Is Microservice Architecture
3.Features Of Microservice Architecture
4.Advantages Of Microservice Architecture
5.Companies Using Microservices
6.Hands-On Using SpringBoot

#Microservices #MicroserviceArchitectureTutorial #MicroservicesForBeginners #MicroservicesOnlineTraining#MicroservicesWithSpringBoot


How it Works?

1. This is a 4 Week Instructor-led Online Course.

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!
---------------------------------------------------------------------------------
About Microservices Architecture Training

Edureka’s Microservices Architecture training introduces you to the concept of Microservices that are small, lightweight, process-driven components. So, Microservices are the next important thing in designing scalable, easy-to-maintain applications. This not only makes application development easier but also offers great flexibility and lets you utilize various resources optimally. If you want to build an enterprise-ready implementation of the Microservices architecture, then this course is the first step for you!

In this Microservices Architecture training, we will start by giving you a deep understanding of the core Microservices concepts and principle with insight in how they have evolved. We will walk you through the complete life cycle - from design to development to testing; including cross-layer concepts such as how to secure Microservices.
------------------------------------------------------------------------
What are the Objectives of our Microservices Architecture Training?

After completing, Edureka's Microservice training, you will be able to:

1.Understand and differentiate between various Microservices Architectural styles
2.Apply Microservices Architecture principles
3.Know how to make the appropriate Microservice Architecture decision
4.Develop and test a Microservice
5.Know what technologies can be used to enable Microservices with an example
---------------------------------------------------------------
Why should you go for Microservices Architecture Training?

Microservices Architecture, or simply Microservices, is a unique method of developing software systems as a suite of independently deployable, small, modular services in which each service runs a unique process and communicates through a well-defined, lightweight mechanism to serve a business goal. Thanks to its scalability, this architectural method is considered ideal when you have to enable support for a range of platforms and devices spanning across the web, mobile, Internet of Things, and so on. Because of its flexibility, you can also use this method when you’re not sure what kind of devices you’ll need to support in an increasingly Cloud-based future.

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

What are the Pre-Requisites for Microservices Architecture Training ?

There are no prerequisites for attending this Microservice course. Understanding of programming languages such as Java, basic understanding and familiarity with Spring Boot framework and building Java applications would be useful to execute Case Study and Project.
----------------------------------------------------------------------------------------------------

Who should go for this Microservices Architecture Training?

1.Application Architects
2.Software Architects
3.Application Developers
4.Developer working on Web, Cloud, Mobile, and other social technologies

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In this C++ full course tutorial for beginners video, you will learn about the essential C++ topics and concepts that will help you understand C++ in a better way. You will look at the history of C++, its uses and features, and topics such as arrays, loops, switch statements, and more. You will understand strings, pointers, and object-oriented programming concepts in this C++ Course with hands-on examples.

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Introduction 00:00:00 - C++ Full Course
Introduction to C++ 00:01:49 - C++ Full Course
Download and Install C++ using VS Code 00:02:44 - C++ Full Course
Strings in C++ 00:06:53 - C++ Full Course
Loops in C++ 00:24:58 - C++ Full Course
C++ Functions 00:54:36 - C++ Full Course
Call by Value and Call by Reference 00:58:50 - C++ Full Course
Recursion and recursive functions 01:19:45 - C++ Full Course
Friend Function in C++ 01:39:00 - C++ Full Course
C++ Header Files 01:58:22 - C++ Full Course
Arrays in C++ 02:02:16 - C++ Full Course
Sorting in C++ 02:21:46 - C++ Full Course
Pointers in C++ 03:06:50 - C++ Full Course
This Pointer in C++ 03:27:19 - C++ Full Course
References in C++ 03:48:10 - C++ Full Course
C++ Memory Management 04:05:40 - C++ Full Course
OOPS concepts in C++ 04:57:39 - C++ Full Course
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Projects in C++ 08:42:16 - C++ Full Course

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✅What is C++ Programming?
C++ is an enhanced and extended version of the C programming language, developed by Bjarne Stroustrup in 1979 as part of his Ph.D. project. Bjarne developed what he called ‘C with Classes’ (later renamed C++) because he felt limited by the existing programming languages that were not ideal for large-scale projects. He used C to build what he wanted because C was already a general-purpose language that was efficient and fast in its operations.

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In this Data Analyst Bootcamp, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data using Python and R. In addition to that; we will see the top 10 data analysis tools and understand the difference between a data scientist and a data analyst. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.

Below are the topics covered in this Data Analyst Bootcamp:

00:00:00 Introduction - Data Analyst
00:02:52 What is Data Analytics
00:04:55 Who is a Data Analyst and its Career
00:37:59 Top 10 Data Analyst Skills
00:51:16 Top 10 Data Analyst Tools
01:12:27 Data Scientist vs Data Analyst
01:40:43 Data Analytics with Python
01:50:28 Microsoft Excel Tutorial
02:19:25 Pivot table in excel
02:47:37 Excel Dashboard
06:58:26 Data Analytics Using R
08:04:53 What is SQL?
09:42:13 Data Analyst Interview Questions

✅Why become Data Analyst?
The World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of data analysts is continuing to grow, creating new job and career advancement opportunities.

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➡️ About Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

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Jimmy Apples (who previously leaked a supposed AGI) was proven right again. OpenAI began work on Arrakis alongside GPT-4, its latest AI model, to create a system that could power AI applications like ChatGPT much more cheaply, the Information report said. The company ended up scrapping it earlier this year after it struggled to meet expectations around efficiency, the report added.
AI models that enable applications like ChatGPT are expensive and resource-intensive, requiring expensive compute power from cloud providers such as Microsoft, Amazon, and Google. Estimates have suggested that ChatGPT costs more than $700,000 per day to run.
OpenAI struck a partnership with Microsoft in January, giving it access to the tech giant's Azure platform. The Information reported that "some executives at Microsoft" were left disappointed by the shortcomings of Arrakis.
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.
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TIMESTAMPS:
00:00 Jimmy Apple's New OpenAI Leaks
01:04 All New OpenAI Leaks
04:08 What is Artificial General Intelligence
05:58 Future of OpenAI
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#openai #ai #leaks

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Python has recently emerged as one of the fastest-growing programming languages. Not only is it extensively used, but it is also an excellent language to learn if you want to go into programming. On the other hand, Machine Learning trains computers by analysing data and statistics. It represents a step toward artificial intelligence (AI). A machine learning programme analyses data and learns to anticipate outcomes.

There are many reasons why you should consider learning Python for Machine Learning. Out of those, a few important ones are codable simplicity, a huge number of libraries and frameworks, fast development, flexible integration and massive online support.

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Dive into the world of Database Management Systems (DBMS) with this easy-to-follow Introduction To DBMS tutorial! We'll explain what DBMS is and why it's important. Learn about different types of databases like Relational, NoSQL, Object-oriented, Hierarchical, and Network databases. Each type has unique features that make them useful for different tasks. We'll also cover basic DBMS concepts such as tables, rows, and columns, primary and foreign keys, and how indexes and queries work. Plus, find out about future trends like Big Data, distributed and cloud databases, and how machine learning is changing the way we manage data. This video uses simple language and clear visuals to make complex ideas easy to understand. Whether you're new to databases or just want to learn more, this tutorial is perfect for you. Watch now and start your journey to mastering DBMS!

In this Introduction To DBMS video, we cover the following topics:

00:00:06 Introduction
00:00:29 Introduction to Databases
00:01:58 What is DBMS?
00:03:28 Components of DBMS
00:04:55 Functions of DBMS
00:05:43 Advantages of Using DBMS
00:06:56 Types of DBMS
00:09:25 Common Use Cases of DBMS
00:11:09 Future Trends in DBMS

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➡️ About SQL Certification Course
This SQL certification course gives you all of the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn how to correctly structure your database, author efficient SQL statements and clauses, and manage your SQL database for scalable growth.

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Generative AI Foundational Community Course Part 1 !!!!

Part 2 coming soon…

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Timeline : -
0:00 Introduction
6:10 What is Generative AI ?
1:43:57 Open AI
3:35:00 LangChain for Generative Ai
5:10:27 Hugging Face API & Langchain
7:04:10 Memory in Langchain
9:00:08 LLM Generative AI Project using OpenAI & Langchain

Know more : http://goo.gl/d95N88

🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Selecting The Correct Predictive Modeling Technique' covers the various deciding factors to choose the correct predictive modeling technique. Following are the topics discussed:
00:00 - Introduction
00:51 - What is Predictive Analysis?
02:58 - Predictive Analysis Techniques
06:37 - Choosing a Predictive Analysis Technique
09:03 - Predictive Analysis Models

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#PythonEdureka #Edureka #predictiveanalysis #machinelearning #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #machinelearningTutorial
----------------------------------------------------------------------------------------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the 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 the python programming language to enhance your learning experience.
----------------------------------------------------------------------------------------------------------
Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables 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.

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 the future, living the present
----------------------------------------------------------------------------------------------------------
Who should go for this Machine Learning Certification Training using Python?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
----------------------------------------------------------------------------------------------------------
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Advanced Machine Learning Example' is the tenth and final class in the Python Machine Learning Series which gives a basic example of image classification using Tensorflow on MNIST digit data.

🟠 𝐂𝐥𝐚𝐬𝐬 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 🟠

[𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 - 𝟭𝟱𝘁𝗵 𝗔𝘂𝗴𝘂𝘀𝘁]
Class 1 - Introduction To Machine Learning
Class 2 - Statistics For Machine Learning
Class 3 - Data Exploration 1 - ETL
Class 4 - Data Exploration 2 - Visualization
Class 5 - Data Exploration 3 - Data Cleaning
[𝐒𝐮𝐧𝐝𝐚𝐲 - 𝟏𝟔𝐭𝐡 𝐀𝐮𝐠𝐮𝐬𝐭]
Class 6 - Data Modeling 1 - Feature Engineering
Class 7 - Data Modeling 2 - Training The Model
Class 8 - Data Modeling 3 - Model Evaluation
Class 9 - Machine Learning Example
Class 10 - Advanced Machine Learning

Python Tutorial Playlist: https://goo.gl/WsBpKe
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#Edureka #PythonEdureka #pythonML #pythonMLseries #datamodeling #featureengineering #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #learnPython
--------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the python programming language and many more.
--------------------------
Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables 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.
--------------------------
Who should go for this Machine Learning Certification Training using Python?
- Developers aspiring to be a ‘Machine Learning Engineer'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- 'Python' professionals who want to design automatic predictive models
--------------------------
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775

( Data Science Training: https://www.edureka.co/data-sc....ience-r-programming- )
This "Machine Learning with R" video by Edureka will help you to understand the core concepts of Machine Learning followed by a very interesting case study on Pokemon Dataset in R. This tutorial will comprise of these topics:

1. Understanding Machine Learning
2. Applications of Machine Learning
3. Types of Machine Learning Algorithms
4. Case Study on the "Pokemon Dataset" to implement Machine Learning Algorithms

Subscribe to our channel to get video updates. Hit the subscribe button above.

Check our complete Data Science playlist here: https://goo.gl/60NJJS

#LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience

How it Works?
1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

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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Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/data-sc....ience-python-certifi (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
In this video on Data Science vs Machine Learning, we’ll be discussing the importance of Data Science and Machine Learning and we’ll compare them based on a few key parameters. The following topics are covered in this session:

(00:47)What Is Data Science?
(02:32)What Is Machine Learning?
(04:06)Fields Of Data Science
(05:32)Use Case
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

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

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---------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
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🔵 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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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


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.

About Course:
Why Learn Python for Data Science?
Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favorite 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.6