Use a span to Target Inline Elements



#100daysofcode




you can do it

Redux: Combine Multiple Reducers


#100DaysOfCode

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/python-....programming-certific (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on Python Developer is a part of the Python Tutorial Series which will help you understand How to become a Python developer. Python Developers are among the most in-demand professionals in the market and hence bag a hefty salary per annum. The pathway to becoming a Python Developer is further explained by the following topics of this Python Tutorial:
00:00:00 Introduction to Python Tutorial
00:01:45 Who Is A Python Developer
00:02:53 Why Become A Python Developer
00:06:45 How To Start a Career in Python
00:12:55 Python Developer Job Roles
00:29:05 Python Projects For Practice

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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

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

🔵 Advanced Certificate program in Cloud Computing : https://bit.ly/43vmME8

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

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

🔥Edureka PMP Certification Training: https://www.edureka.co/pmp-cer....tification-exam-trai
This Edureka tutorial on Project Communication Management will give you an insight into the various process and activities covered during Project development and how the flow of communication is managed through all the stages of the Project Life Cycle. Following are the topics covered in this session:
1:04 Project Communication Management
2:23 Communication Management Overview
6:12 Communication Management Processes

🔵PMP Tutorial Blog Series: http://bit.ly/2P4YJFs
🔵PMP Youtube Playlist: http://bit.ly/2AnvOqJ

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

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

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#edureka #pmpedureka #projectintegrationmanagement #integrationmanagementpmp #projectmanagement #pmp #pmptraining

-----------------------------------------------------------------
How does it work?

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 this course, you will be awarded a 35 Contact Hours certificate that is mandatory to apply for the PMP® examination.
--------------------------------------------------------------------
About The Course

Online PMP® exam prep course is designed to help aspiring professionals earn PMP® certification in the first attempt. The goal of this course is to empower the current and future Project Managers to manage the project more efficiently and effectively throughout the Project Management Life Cycle.



This course is taught by PMP Certified Trainers, who have years of experience in training. These instructors have been practicing Project and Program Management with some of the top organizations across industries. They leverage their rich, hands-on industry experience to help participants understand the practical application of all the 10 knowledge areas covered in ‘The PMBOK® Guide’ (A Guide to the Project Management Body of Knowledge) – Sixth Edition.

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

Who should go for this course?

PMP® Certification is useful for anyone who has Project Management experience and desires a globally recognized credential that will lead to professional career growth and recognition.

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

Why learn PMP Certification?

Project Management Professional (PMP)® is a global credential offered by PMI Inc. PMP® Certification is a globally recognized, rigorous, education and/or professional experience, and examination-based credential program. It helps one understand the global language of Project Management and connect with Project Management Professionals. PMP certified professionals earn a higher salary than those not certified.

-----------------------------------------------------------------------
Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.

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

🔥 Become Data Analytics Expert Today: https://taplink.cc/simplilearn_data_analytics

Da;02ta Analytics Roadmap 2024 tutorial by simplilearn is dedicated to help aspiring data analysts to understand the perfect Roadmap To Learn Data Analytics In 2024. This Data Analyst tutorial by Simplilearn will cover the following

00:00:00 Introduction to Data Analyst Roadmap 2024
00:02:02 What is Data Analytics?
00:02:56 Roles of Data Analyst
00:05:14 Skills Required to Become Data Analyst
00:07:36 Roadmap to Become a Data Analyst
00:11:20 Salary of a Data Analyst
00:12:08 Companies Hiring Data Analysts

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#DataAnalytics #DataAnalyticsCrashCourse #DataAnalyst #DataAnalystJobs #DataAnalyticsCertification #DataAnalyticsCourse #DataAnalysis #2023 #Simplilearn

➡️ About Post Graduate Program In Data Analytics

This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
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✅ Skills Covered

- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

✅ Enroll Course Now: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=05Oct2023DataAnalyticsRoadmap2024&utm_medium=Description&utm_source=youtube

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¡Suscríbete para ver todos nuestros videos! @VeritasiumES


Video en Inglés del Canal @veritasium : https://www.youtube.com/watch?v=Q51-gLL_MRM&ab_channel=Veritasium


🕹 Este canal de YouTube es administrado por: https://www.unilingo.co/
❓Comentarios o sugerencias de traducción: [email protected]

------------------------------------------------------------------------
#veritasiumenespañol #ciencia #matemática #física #química #universo #conocimiento #viral

Los vitrales antiguos son más gruesos en la parte de abajo, ¿entonces es un líquido? El manto de la Tierra permite la tectónica de placas, ¿entonces significa que es un líquido?
🥂SUSCRÍBETE para ver todos nuestros videos:
http://bit.ly/Suscribirse_Veritasium_en_español

Experimento de la Brea: http://www.thetenthwatch.com

Gracias a Meg Rosenburg por el guión y la animación, Raquel Nuno por filmar y Aaron White por la consulta del guión.

Como dijo el famoso geólogo Grove Karl Gilbert:
"En mi mente la dificultad aparenta ser solo imaginaria y no real.
Rigidez y plasticidad no son términos absolutos, son relativos, y todos los sólidos son ambos, rígidos y plásticos.
Cuando grandes masas y fuerzas están involucradas, la distinción pierde su valor"

¿El vidrio es un Sólido o un Líquido? - El estado del vidrio
Video en Inglés del Canal @Veritasium: https://youtu.be/c6wuh0NRG1s
------------------------------------------------------------------------
🕹 Este canal de Youtube es administrado por: https://www.unilingo.tv/
❓Comentarios o sugerencias de traducción: [email protected]
------------------------------------------------------------------------
#veritasiumenespañol

Помощь проекту: https://vertdider.tv/to-support-us/

Могут ли закончиться места в отеле, где бесконечно много номеров? Звучит парадоксально, но могут, ведь некоторые бесконечности больше других. Об этом расскажет Дерек Маллер в новом видео Veritasium.

#VertDider #Veritasium

Перевод: Алексей Малов
Редактура: Елена Смотрова
Озвучка: Дмитрий Чепусов
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider
Озвучки Vert Dider выходят с вашей помощью:

Maria Zvereva, Pavel Dunaev, Nick Denizhenko, Oleksii Leonov, Yegor Barakovskiy, Ігор Дорохов, Mikhail Stolpovskiy, Антон Малинин, Дмитрий, Roman Inflianskas, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Роман Чурин, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Максим 'Sheridan' Горлов, Katoto Chan, Anton Makiievskyi, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Julia, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Natalie Kulinicheva, Ilya Afanasyev, Marat Bakirov, Ирина Завтонова, Anastasia, Aliaksandr Sheliutsin, Andrew Rumak, Andrey Istomin, Марина Малинкина, Dmitry Khlan, Yaroslav Kyrylchuk, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Nadia Kilgishova, Sultan Ishankulov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Виталий Пастушенко, Claudia Barzaeva, Monza UA, Lirin Alex, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium
Источник: https://youtu.be/OxGsU8oIWjY

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Пульсирующая черная дыра в центре отдаленной галактики проливает свет как на черные дыры в целом, так и на образование галактик. Как быстро черные дыры вращаются, и как это вращение меняется на протяжении всей их жизни?

Перевод: Юлия Яковлева
Редактура: Алексей Лоскутов
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, JIukaviy, Куляш, Dmitrii Komarevtsev, Мikhail Samin, Roman Inflianskas, Oleg Zingilevskiy, Alena, Vitaliy Vachynyuk, Ника Калмыкова, opperatius, Aleksandr P., Pavel Parpura, Katoto Chan, Anton Bolotov, Anatoly Ressin, Eugene Tsaplin, angel, Artem Amirbekov, Victor Cazacov, Kirill Zaslavskii, Vladyslav Sokolenko, Alexander Balynskiy, Dzmitryi Halyava, Ihar Marozau, Kseniya Stukova, POD666, Aleksei Shabalin, Irina Shakhverdova, Vadim Velicodnii, David Malko, Nastya, Evgeny Vrublevsky, Stanislav Obrazcoff, Kirill Vedensky, Валентин Матвейчик, Leonid Steinberg, Alexander Goida, Katya Ma, Morock_D, Sergey P, Ilya, Oleksandr Hrebeniuk, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Nikrodol, Lexx, Rincewind, Alexander Lebedev, Roman Gelingen, Sonra44, Сергей Клопов, Ranis Zaripov, Timophey Popov, MaximML , Rekvet, Илья Зверев, Никита Омельницкий, Timur Rahmatulin, Иван Новиков, Арс Ник, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Точка Зрения, SpireX, Maxim Khaustov, Р Ч.

#VertDider #Veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/fu3645D4ZlI

Помощь проекту: https://vertdider.tv/to-support-us/

Каждый, кому хотя бы раз приходилось сталкиваться с фунтами и унциями, наверняка задавался вопросом: почему США не перейдёт на метрическую систему?! Дерек Маллер пообщался на эту тему с одним из сотрудников Национального института стандартов и технологий. Оказалось, ситуация странная, и, похоже, ваше возмущение вполне уместно.

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Озвучка: Вадим Казанцев, Сергей Васильев
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Эльдар Нургалиев

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

Nikolay Verhovsky, Nick Denizhenko, Oleksii , Mikhail Stolpovskiy, Ігор Дорохов, Кирилл Басалык, Boris Bendikov, Dina vysotskaya, Sergei W, Михаил Панькин, Hackee , Felix , Pavel Parpura, Yevhen , Kosoy , Anton Bolotov, Максим Sheridan' Горлов, Anton Makiievskyi, Vladimir Grachev, Denis Titusov, Spartak Kagramanyan, Dmitriy Omelyansky, Konstantin Pesyakov, Olga Shistareva, Alex Katkov, Dmitrii Tretiakov, Serj Kravchuk, Alexander Zimin, Евгений Миф, Alexey Kukushkin, Пугачёв Пётр, Viktoria , Kamerton_440 , Pandaben , Oleg Streltsov, Alexandr Globov, space monkey, Vladimir Goshev, Vladyslav Sokolenko, Елизавета , Pavel D, Ivan Iakimov, Иван Дьяченко, Karl Soveren, Claudia Barzaeva, sepeca , Olga Podolskaya, Антон Шатаев, Dushes , Aleksei Masliukov, Valeria Volodina, Vladimir Gavriushov, Maria Burtseva, Aleksey Sazonov, Irina Shakhverdova, Evgeny Vrublevsky, Виталий Пастушенко, Katya Prokopchuk, Lirin Alex, Alterien

Сайт студии: http://vertdider.com

Мы в социальных сетях:
- http://vk.com/studio_vd
- https://twitter.com/Vert_Dider
- http://coub.com/vertdider
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Разрешение на публикацию: https://goo.gl/6n4dT7
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/SmSJXC6_qQ8

( PMP® Training: https://www.edureka.co/pmp-cer....tification-exam-trai )
This Edureka video on PMP® vs PRINCE2® will compare two major certifications in the field of Project Management. Below list contains the various points of comparison:

1. Acronym
2. Certification Bodies
3. Methodology
4. Structure
5. Approach
6. Framework
7. Industry/Geography wise relevance
8. Certification Levels
9. Eligibility & Fee Structure
10. Exam Format
11. Preparation Time
12. Average Salary

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

#PMPEdureka #PMP #PRINCE2 #PMPvsPRINCE2 #PRINCE2vsPMP #ProjectManagementCertifications #PMPOnlineTraining #PMPCertification #ProjectManagementProfessionalCertification

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

How does it work?

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 this course, you will be awarded a 35 Contact Hours certificate that is mandatory to apply for PMP® examination.

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

About The Course

Online PMP® exam prep course is designed to help aspiring professionals earn PMP® certification in the first attempt. The goal of this course is to empower the current and future Project Managers to manage the project more efficiently and effectively throughout the Project Management Life Cycle.

This course is taught by PMP® Certified Trainers, who have years of experience in training. These instructors have been practicing Project and Program Management with some of the top organizations across industries. They leverage their rich, hands-on industry experience to help participants understand the practical application of all the 10 knowledge areas covered in ‘The PMBOK® Guide’ (A Guide to the Project Management Body of Knowledge) – Sixth Edition.

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

Who should go for this course?

PMP® Certification is useful for anyone who has Project Management experience and desires a globally recognized credential that will lead to professional career growth and recognition.

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

Why learn PMP® Certification?

Project Management Professional (PMP)® is a global credential offered by PMI Inc. PMP® Certification is a globally recognized, rigorous, education and/or professional experience, and examination-based credential program. It helps one understand the global language of Project Management and connect with Project Management Professionals. PMP® certified professionals earn a higher salary than those not certified.

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

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).

Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Instagram: https://www.instagram.com/edureka_learning/

🔥Data Scientist Masters Program: https://www.edureka.co/masters....-program/data-scient
This Edureka video on "What is Data Science" will introduce you to the concepts of Data Science and how it is used to solve real-world problems. Data science is the process of using the data to find solutions / to predict outcomes of a problem statement.
00:00 Introduction
00:24 Agenda
01:16 Data Science
03:28 Walmart Use Case
05:39 What is Data Science
07:36 Problems Solving in Data Science
19:55 Categories of Algorithms
20:06 Supervised Learning
21:19 Unsupervised Learning
22:16 Reinforcement Learning
22:36 K-Means Clustering Algorithm

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-----------------------------------------Edureka Masters Programs---------------------------------------------------

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----------------------------------------------------Edureka Post Graduate Courses-------------------------------------------

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About the Master's Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles.

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Topics Covered in the curriculum:

Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc.

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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/machine....-learning-certificat
This Edureka video on Machine Learning Steps will help you understand, what are the various steps involved in while developing a Machine Learning Model. By the end of this video you will be able to implement a Machine Learning Pipeline. These are the following topics that are covered in this Machine Learning Steps video:
00:00:00 Introduction
00:00:47 Why Machine Learning?
00:02:04 What is Machine Learning?
00:04:36 Machine Learning PipeLine
00:08:51Demo: Implement a Machine Learning Pipeline

🔹Checkout Edureka's Machine Learning Python Tutorial playlist: https://bit.ly/3szLTCO
🔹Checkout Edureka's Machine Learning R Tutorial Playlist: https://bit.ly/3duYGlF

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

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🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Tableau Online Training: https://bit.ly/3g784KJ

--------------Edureka Masters Programs--------------

🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
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🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb

--------Edureka PGP Courses------------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
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#Edureka #EdurekaPython #MachineLearningSteps #MLPipeline #MachineLearningTraining #Python #EdurekaTraining
------------------------------------------------------------------
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!
- - - - - -
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.
-----------------------------------

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)

🔥 Edureka Machine Learning Certification training (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/masters....-program/machine-lea
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
Topics covered in this video:

00:00:00 Introduction
00:01:17 Agenda
00:01:54 What is Machine Learning?
00:05:38 What is Support Vector Machine?
00:06:54 How does SVM work?
00:09:07 SVM Kernel
00:14:18 SVM Use case
00:14:35 How to implement SVM?




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🔹Blog Series: https://bit.ly/2PX5lIp

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

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🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-------Edureka Masters Programs----------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

---------------------------------------Edureka Post Graduate Courses-------------------------------------------

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#edureka #datascienceedureka #SupportVectorMachine #SVM #DataScience #MachineLearning #MachineLearningTraining #learnMachineLearning #withme

----------------------------------------
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.
--------------------------------------------
Who should go for this Course?

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
--------------------------------
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/machine....-learning-certificat **
This Edureka video on 'Machine Learning in 10 Minutes' will help you understand what exactly is Machine Learning and what are the different types of Machine Learning along with some career opportunities that you can achieve through Machine Learning.
0:11 - Example
1:18 - What is AI?
1:56 - What is Machine Learning
2:45 - Steps for Machine Learning
4:15 - Types of Machine Learning
4:38 - Supervised Learning
5:36 - Unsupervised Learning
7:08 - Reinforcement Learning
8:53 - Applications of Machine Learning
9:54 - What can you be with Machine Learning?

Check out our playlist for more videos: http://bit.ly/2taym8X

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

#Edureka #MachineLearningEdureka #MachineLearningUsingPython #MachineLearningTraining


How does it work?

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 with a Grade and a Verifiable Certificate!


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


About the Course


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 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 modelling

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 enables the computers to learn the desired behaviour 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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Facebook: https://www.facebook.com/edurekaIN/
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🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executi....ve-programs/machine-
This Edureka Live on "Machine Learning With Python" (Machine Learning Blog: https://goo.gl/fe7ykh) gives an introduction to Machine Learning, its various applications along with a demonstration where you will compare the accuracy of different supervised machine learning algorithms.
Below are the topics covered in this tutorial:

1. Machine Learning Myths Busted!!
2. What is Machine Learning?
3. How are you using Machine Learning in your daily life?
4. Types of Machine Learning
5. Demo - Comparing the accuracy of different ML algorithms

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

----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬-----------

🔵Python Programming Certification: http://bit.ly/37rEsnA
🔵Python Certification Training for Data Science: http://bit.ly/2Gj6fux

----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦----------

🔵Data Scientist Masters Program: http://bit.ly/2t1snGM
🔵Machine Learning Engineer Masters Program: https://bit.ly/3Hi1sXN

-----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦----------

🌕Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
NIT Warangal: https://bit.ly/3qdRRdw

#machinelearning #machinelearningalgorithms #machinelearningusingpython #machinelearningtraning

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!

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

About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with the integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger.

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

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).

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future.

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Customer Review

Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."