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Q. Why Python programming is important?
Python is a highly popular object-oriented language that is fast to learn and easy to deploy. It can run on various systems like Windows, Linux, and Mac; this makes it highly coveted for the Data Analytics domain. Python’s design and libraries provide 10 times productivity compared to C, C++, or Java. A Senior Python Developer in the United States can earn $102,000 – Indeed

Q. Why should you opt for a Python career?
If you want to fast-track your career then you should strongly consider Python. The reason for this is that it is one of the fastest-growing and widely used programming languages. There is a huge demand for Python programmers. The salaries for Python programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat Python programming session is your stepping stone to a successful career!
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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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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.
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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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Dive into the world of Large Language Models with our How Large Language Models Work video! In this Introduction to LLM video, we explore the fascinating technology behind large language models like GPT-3 and their impact on AI. Discover how these models work, their impressive capabilities, and how they’re transforming fields like natural language processing and machine learning.

Here in this Introduction to LLM video, we cover the following topics:

00:00 Introduction
02:09 From RNNs to Transformers
05:07 Transformer Architecture Diagram
07:21 Why Transformers Can Predict Text?
08:16 What is LLM
09:37 Capabilities
10:39 Real World Applications
11:42 How Do Large Language Models Work?
12:03 Learnings
12:28 Customization Techniques
12:58 Types
13:37 Advantages and Challenges

✅What are large language models?
Large language models are advanced AI systems capable of understanding and generating human-like text based on vast amounts of data. They excel in tasks like translation, summarization, and conversation due to their deep learning architecture

✅Q2 How do large language models work?
They use complex algorithms and deep learning techniques to predict and generate text. By processing large datasets, these models learn patterns in language, enabling them to create coherent and contextually relevant responses.

✅Q3 What are some applications of large language models?
These models are used in chatbots, virtual assistants, automated content creation, and enhancing search engines and recommendation systems.

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Learn about Large Language Models (LLMs), a powerful neural network that enables computers to process and generate language better than ever before. Dale and Nikita share how LLMs work and how you can interact with them via prompts.

Resources:
Try out Bard → https://goo.gle/420KQhw
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REFERENCES
[1] The main Paper: https://arxiv.org/abs/1706.03762
[2] Tensor2Tensor has some code with a tutorial: https://www.tensorflow.org/tut....orials/text/transfor
[3] Transformer very intuitively explained - Amazing: http://jalammar.github.io/illustrated-transformer/
[4] Medium Blog on intuitive explanation: https://medium.com/inside-mach....ine-learning/what-is
[5] Pretrained word embeddings: https://nlp.stanford.edu/projects/glove/
[6] Intuitive explanation of Layer normalization: https://mlexplained.com/2018/1....1/30/an-overview-of-
[7] Paper that gives even better results than transformers (Pervasive Attention): https://arxiv.org/abs/1808.03867
[8] BERT uses transformers to pretrain neural nets for common NLP tasks. : https://ai.googleblog.com/2018..../11/open-sourcing-be
[9] Stanford Lecture on RNN: http://cs231n.stanford.edu/sli....des/2018/cs231n_2018
[10] Colah’s Blog: https://colah.github.io/posts/....2015-08-Understandin
[11] Wiki for timeseries of events: https://en.wikipedia.org/wiki/....Transformer_(machine

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This Edureka video on 'SQL Basics for Beginners will help you understand the basics of SQL and also SQL queries which are very popular and essential. In this SQL Tutorial for Beginners, you will learn SQL from scratch with examples. The following topics have been covered in this SQL tutorial:
00:00:00 Introduction
00:00:32 Agenda
00:00:54 Introduction to SQL
00:02:26 Features of SQL
00:03:41 Data & Database
00:07:55 Table
00:11:02 Basic SQL Queries
00:11:46 SELECT
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00:25:51 ALIASES IN SQL

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This "Python Full Course for Beginners" video provides a comprehensive overview of Python programming. This Python tutorial for beginners has foundational concepts such as variables and data types to advanced topics like functions, modules, and object-oriented programming. This Python for Beginners video offers a step-by-step approach with explanations, examples, and interactive exercises. It's the perfect starting point for individuals eager to dive into Python programming from scratch.

00:00:00 Introduction to Python Full Course
00:01:04 Agenda of Python Full Course
00:03:14 Why use Python
00:46:28 What are comments in Python?
00:49:42 Types of Comments
00:56:44 What is an Operator?
01:19:17 What is A Tuple in Python?
01:27:31 Tuple Methods
01:32:56 When to use Sets in Python?
01:35:38 Finding the length of a Set
01:37:15 Adding Elements to a set
01:45:21 Difference of Sets
01:47:31 Why Use A Python dictionary?
01:48:03 Dictionary Vs Lists
01:49:08 How to Implement Dictionary in Python?
01:56:42 Operation in Python Dictionary
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02:03:11 Why to Use Loops
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02:36:41 Why use Functions?
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02:42:05 Functions
03:03:42 User-Defined Functions in Python
03:08:34 Python Lamba function
03:12:53 What are Python Lambda Functions?
03:17:13 Anonymous Function within user-defined Functions
03:24:14 Lambda within map()
03:32:20 Arrays in Python
03:59:54 Features
04:01:31 Python Salary Trends
04:20:58 Inheritance in python
04:34:29 Exception Handling in python
04:54:28 What is Python Requests?
05:01:30 Cookies and Headers
05:22:02 Regular Expression
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06:02:33 Python File Handling
06:26:19 HOw to connect python with mysql DB?
06:50:38 What are Sockets?
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09:06:48 Histogram
09:19:46 Basic Operation with OpenCV
09:28:57 Face Detection using OpenCV
09:31:39 Capturinh video
09:47:19 Motion Detector
09:55:58 What is a ChatBot
10:18:07 The map() Function
10:21:54 The Filter() Function
10:24:36 The Reduce() Function
10:32:43 Introduction to SEABORN
10:33:47 Seaborn vs Matplotlib
10:52:10 Basic Python Interview Questions
11:28:54 Python Django Interview Questions

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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.

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

Мы настолько привыкли к свету, что даже не задумываемся о его природе. Но если бы более двух веков назад Томас Юнг не провёл свой знаменитый эксперимент, мы бы до сих пор гадали, что такое свет, волна или частица. Но благодаря ему всё решилось однозначно. Так ведь?

Перевод: Варвара Феофанова
Редактура: Алексей Малов
Озвучка: Вадим Казанцев, Андрей Антонов, Александр Пилипчак, Андрей Джис, Сергей Васильев, Лиза Тверская-Самойлова, Наталья Алейникова, Маргарита Корш, Алёна Соколова
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:

Ekaterina Kukushkina, Oleksii , Mikhail Stolpovskiy, Oleg Ostroukhov, Boris Bendikov, Dina vysotskaya, Animara , Sergei W, Katoto Chan, Kosoy , Максим Sheridan' Горлов, Anton Makiievskyi, Makovskyj Danilo, Дмитрий Мисюра, Руслан Островский, Александр Фалалеев, Soz Nov, Spartak Kagramanyan, Dmitriy Omelyansky, Alex Katkov, Жанна Голухова, Kamerton_440 , space monkey, Vladimir Goshev, Vladyslav Sokolenko, Елизавета , Yevhen , Артём Маликов, Aleksei Masliukov, Вершинский Вадим, Ruslan Akhmerov, Vladimir Gavriushov, Maria Burtseva, Aleksey Sazonov, Irina Shakhverdova, Evgenii Bakhmet, Никита Рыжков, Evgeny Vrublevsky, Anna Gerasimenko, Mush Rain, Alexey , Gurov D.A., Evgeniy , Alexander Kalashnikov

Сайт студии: http://vertdider.com

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Источник: https://youtu.be/Iuv6hY6zsd0
Разрешение на публикацию: https://goo.gl/6n4dT7
© https://www.youtube.com/user/1veritasium

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Людям сложно оценить вероятности и количество всевозможных задач, парадоксов и видео на эту тему — тому подтверждение. Правильные решения кажутся абсолютно нелогичными и полагаться приходится лишь на строгие и точные расчеты, но в этом видео Veritasium Дерек Маллер расскажет о задаче, которая не дает покоя математикам и философам вот уже два десятилетия.

Задача о 100 заключённых [Veritasium]: https://youtu.be/wWQ9YdreY9c
Ловушка Байеса [Veritasium]: https://youtu.be/KQqJmeXWrwk
Согласны ли вы рискнуть? [Veritasium]: https://youtu.be/SYmVd-ewAe8
Теорема Байеса [3Blue1Brown]: https://youtu.be/_bcAK_1a72k
Биномиальное распределение [3Blue1Brown]: https://youtu.be/kkgE50r6kIM
Нулевая вероятность не значит «невозможно» [3Blue1Brown]: https://youtu.be/aoml_Y4DWss

Перевод: Елена Смотрова
Редактура: Алексей Малов
Озвучка: Дмитрий Чепусов, Лиза Чабан
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, Vitaliy Vachynyuk, Aleksandr P., Мikhail Samin, Dmitrii Komarevtsev, Roman Inflianskas, Oleg Zingilevskiy, opperatius, Alena, Ника Калмыкова, Куляш, Anton Bolotov, Eugene Tsaplin, Anatoly Ressin, Anpat, Katoto Chan, Pavel Parpura, JIukaviy, angel, Vladyslav Sokolenko, Timur Sattarov, Victor Cazacov, Kirill Zaslavskii, Ihar Marozau, Artem Amirbekov, Dzmitryi Halyava, Aleksei Shabalin, Kseniya Stukova, Irina Shakhverdova, Vadim Velicodnii, Stanislav Obrazcoff, POD666, Janis Riekstins, Oleksandr Hrebeniuk, Sergey P, Павел Приступа, Anna Ostrovskaya, Валентин Матвейчик, Leonid Steinberg, Ilya, Alexander Goida, Katya Ma, Morock_D, Evgeny Vrublevsky, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Roman Gelingen, Сергей Клопов, Alexander Lebedev, Lexx, Nikrodol, Rincewind, Sonra44, Ranis Zaripov, Alexey Tyurnin, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Artem Piskarev, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Арс Ник, Василий , Глеб Кочергин, Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Точка Зрения

#VertDider #Veritasium

Сайт студии: http://vertdider.tv

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/XeSu9fBJ2sI

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

Представьте, что обычная лампочка горит 120 лет без перерыва. Или что ваш iPhone не пора менять через пару лет на более новую модель. Теории заговора — обычно не самый вероятный, а зачастую и откровенно бредовый вариант якобы реальных, но покрытых тайной событий и мнимых подводных течений нашей жизни. Но Дерек Маллер раскрыл сразу несколько заговоров, которые, похоже, реально существовали. Всё дело было в заработке. Если точнее, огромные компании в погоне за выручкой договаривались между собой, снижали качество продукции, вынуждая клиентов снова и снова возвращаться за товаром, и придумывали, как заставить покупателей менять ещё пригодную для использования вещь на новую.

Перевод: Алексей Малов
Редактура: Елена Смотрова
Научная Редактура: Александр Цимеринов
Озвучка: Дмитрий Чепусов, Алексей Никитин, Екатерина Гаврилова
Монтаж звука: Андрей Фокин
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, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Дмитрий, Roman Inflianskas, Vladimir Dementyev, 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, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Julia, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Лиля Малкова, 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, 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, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Виталий Пастушенко, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, 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://vertdider.tv/permissions-for-publication/
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/j5v8D-alAKE

37 гривень на «Гнів Пречистий» ➡️ https://send.monobank.ua/jar/7MgRmb8MyE 🔥

Переклав: Vladee Flava.
Озвучили: Vladee Flava, Юрій Чеков, Валерія-Анастасія Пришляк, Олексій Великий, Юлія Оліяр, Юра Кавратка, Таня Дворжак, Олег Андрощук, Лариса Пришляк та Валентин Глушко.

Оригінал: https://youtu.be/d6iQrh2TK98?si=PRo0bcK3J3-Mok34

PROМОВА (ПРОЄКТ МОВА) - створений задля поширення та популяризації українськомовного контенту, основу каналу складають іноземні відео вперше озвучені українською мовою.

ПІДТРИМАЙТЕ ПРОЄКТ МОВА ФІНАНСОВО:
➡️ https://bmc.link/projektmova/membership - Buy Me A Coffee ☕
➡️ https://donatello.to/projektmova - Donatello 🐢
➡️ 4441 1144 6986 4571 - Monobank 💳

Дякую за підтримку: VALERII MARKUS, Галина Свиноус, Zagin Kinomaniv, Ярослав Характерник, Eugene Medvediev, Zhuk Orest, AirMaiden, Anastacia Lukashevych, Андрїй Молявчик, Дмитро Солов'янов, Олексій Іванчук, Bohdan Kvas, Pavlo, Dyka Olenka, Dmytro Savochkin, Vil Vilnyi, Oleksandr Karpov, v_omelianiuk, Danylo, Zergatul, Ihor Musikevych, Valentyn Solomko, Ken Guru, vch_m, Pavlo Pravdiukov, Vladyslav Yevtiukhin, Anna, Yurii Selinnyi та іншим 🙏🏼

Окрема подяка: Анатолій Партика, Євгеній Домарєв, Раймонд Пермінов, Денис Мартиненко, Олександр Білецький 🔥

➡️ https://instagram.com/projektmova 📱
➡️ https://t.me/projektmova 📱

#VERITASIUM #ЯДЕРНИЙКРАТЕР #ПРОЄКТМОВА

https://github.com/krishnaik06..../Google-Gemini-Crash
In this video we will learn about we can create gen ai Large Language models and Large Image models app using Google Gemini pro and Vision.

Timestamp:
00:00:00 Introduction
00:01:22 Google Gemini Pro And Vision Demo
00:28:48 End To End LLM and LIM App
00:54:06 Conversational Q&A APP
01:08:30 Chat With Multiple Pdf
01:37:39 MultiLanguage Invoice extractor
02:03:26 Health MAnagement APP Using Gemini Pro
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Support me by joining membership so that I can upload these kind of videos
https://www.youtube.com/channe....l/UCNU_lfiiWBdtULKOw
---------------------------------------------------------------------------------------------------------------------------
►Data Science Projects:
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB

►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n

►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn
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🔥Edureka Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.

🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

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

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
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-----------------------------------------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
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-----------------------------------------Edureka PGP Courses---------------------------------------------------

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#Edureka #DataScienceEdureka #MLTreeBasedModelsPython #MLForBeginners #ML #Python #DataScience #DataScienceUsingPython #learnDataScience #withMe
-------------------------------------

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:

Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods

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

Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

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For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).