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Machine Learning
18 Views · 3 years ago

🔥 MySQL DBA Certification Training: https://www.edureka.co/mysql-dba
This Edureka video on 'MySQL vs MongoDB' we can understand both MySQL and MongoDB along with their comparison with each of its special features and their popularity.
The topics covered in this video are:
00:00:00 Agenda
00:01:18 Introduction to Databases
00:07:21 What is MySQL?
00:12:34 What is MongoDB?
00:16:02 Differentiating in terms of features
00:18:39 Which is better to choose?

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🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1

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#edureka #EdurekaMySQLvsMongoDB #MySQLvsMongoDB #DifferencebetweenMySQLandMongoDB #DataBaseTraining #EdurekaTraining #edurekasql #edureka

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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 the training, you will be working on a real-time project for which we will provide you with a Grade and a Verifiable Certificate!

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About The Course
MySQL is the most popular open-source database. This training is your first step towards gaining a strong foundation and hands-on experience in using and administering this open-source relational database.

You will gain an understanding of the core concepts and advanced tools and techniques to manage data and administer the MySQL Database. Through this training, you will gain the ability to create and administer your own MySQL Database and manage data.

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Who should go for this course?
This course can be beneficial for people having the below professional background:

• Database Developers

• Application Developers

• Database Designers

• Database Administrators

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Why learn MySQL DBA?

Edureka's MySQL Administration training is based on the MySQL Database 5.6 version. This is your first step in getting to know this open-source relational database with extensive hands-on learning.

You will get a general understanding of relational databases and techniques to design an efficient database system. You will learn the powerful Structured Query Language (SQL) to build a database and manipulate data. You will also learn the various administration skills required to manage the database.

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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.

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Generative AI
41 Views · 3 years ago

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=23Jan2024MasterDATACLEANINGInEXCEL&utm_medium=DescriptionFF&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=23Jan2024MasterDATACLEANINGInEXCEL&utm_medium=DescriptionFF&utm_source=youtube
🔥Caltech Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=23Jan2024MasterDATACLEANINGInEXCEL&utm_medium=DescriptionFF&utm_source=youtube
🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=23Jan2024MasterDATACLEANINGInEXCEL&utm_medium=DescriptionFF&utm_source=youtube

Welcome to our comprehensive guide on 'Data Cleaning for Data Analytics'! In this video, we dive into the crucial world of data preparation, focusing on the essential process of data cleaning. Whether you're a budding data analyst, a business professional, or just someone fascinated by the power of data, this video is crafted to enhance your understanding and skills in data cleaning.

What You'll Learn:

Fundamentals of Data Cleaning: Understand what data cleaning is and why it's a critical step in data analysis.
Common Data Quality Issues: Identify typical challenges like missing values, inconsistent formats, outliers, and duplicate data.
Practical Techniques: Walk through real-world methods for tackling these issues, using popular data science tools and languages.
Automation Strategies: Learn how to automate repetitive tasks, making your data cleaning process more efficient and reliable.
Impact on Analysis: See how clean data leads to more accurate and actionable insights, enhancing the decision-making process.

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

#DataAnalyticsForBeginners #DataAnalysis #DataAnalyticsTutorialForBeginners #DataCleaning #DataAnalysisConcepts #DataAnalystJob #DataAnalyst #DataAnalystSkills #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.

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- Post Graduate Program certificate and Alumni Association membership
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- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
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- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ 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

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Generative AI
26 Views · 2 years ago

▶️ Intellipaat's Tableau Certification Course: https://intellipaat.com/tableau-training/

In our modern world, having information is really important. Whether it's businesses making smart choices or researchers finding valuable information, using the huge amount of data out there is a big deal. But, dealing with all that data can be super hard because it's so big and complicated. That's where Tableau comes in – it's a super cool tool that helps us see and understand data in a whole new way. In this Tableau Full Course, we're going to Learn Tableau how Tableau works and how it can help us work with data better.

Throughout this Tableau Training for Beginners, we'll explore What Is Tableau, Tableau Features, Tableau Product Offerings, and Tableau Installation and Loading Dataset. Then we will learn about Dataset Exploration, What Is Data Visualization, and Why Tableau Is Better than other vendors we will also Discover Tableau's Interactive Dashboard and Features, Data Types In Tableau, Creating Charts and dashboards with Tableau Desktop and Different File Types in Tableau. After this, we will talk about Modes for Connecting Data With Tableau, Relationship, and database Join. Data Blend in Tableau, Different Tableau filters and Their Types, and QlikView vs. Tableau. Finally, we will go through the Most Commonly Asked Tableau Interview Questions. No matter if you really like working with data and want to get better at it or if you're a professional looking for a helpful tool in the world of data. Together, we'll find out how Tableau can change the way you work with data, making it easier to make smart decisions and create interesting stories using pictures and charts.

#TableauFullCourse #LearnTableau #TableauTrainingForBeginners #TableauTutorial #TableauDashboard #TableauTraining #TableauCertification #Intellipaat

🔵 In this Tableau Full Course, we will cover the following topics:
00:00:00 - Introduction
00:02:26 - What Is Tableau?
00:03:18 - Tableau Features
00:12:54 - Tableau Product Offerings
00:16:41 - Tableau Installation and Loading Dataset
00:20:18 - What Is Data Visualization?
00:35:52 - Why Tableau Is Better than Other Vendors
01:10:04 - Discovering Tableau's Interactive Dashboard and Features
01:23:26 - Data Types In Tableau
01:36:17 - Creating Charts & Dashboards with Tableau Desktop
05:03:54 - Modes for Connecting Data With Tableau
06:51:27 - Relationship, Cross Database Join. Data Blend in Tableau
10:17:48 - Different Tableau Filters and Their Types
10:45:44 - Most Commonly Asked Tableau Interview Questions

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

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Intellipaat is a global online professional training provider. We offer some of the most updated, industry-designed certification training programs, including courses in Big Data, Data Science, Artificial Intelligence, and 150 other top-trending technologies.
We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients in upskilling their workforce and keeping them in sync with the changing technology and digital landscape.

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Machine Learning
12 Views · 2 years ago

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

Чему мы обязаны успехами, которых достигаем? В своем новом видео Дерек Маллер рассматривает вопрос о том, какова роль случая в наших победах и как мы субъективно оцениваем свои усилия. Из ролика узнаем, как приписывание успеха собственному упорству мешает оценить других людей, как сиднейские поезда помогли Дереку познакомиться с женой и, наконец, что же делать, чтобы достичь своих целей.

Перевод: Елена смотрова
Редактура: Алексей Малов
Озвучка: Дмитрий Чепусов
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:

Pavel Dunaev, Nick Denizhenko, Yegor Barakovskiy, Oleksii, Ігор Дорохов, Mikhail Stolpovskiy, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Sergei W, Виталий Алешко, Luba Karpenko, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Katoto Chan, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Sultan Ishankulov, Александр Яковлев, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ihar Marozau, Мария Соозарь, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Sergii Cherepanov, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Konstantin Pesyakov, Denis Titusov, Alterien, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, F23D24, Olga Shistareva, Kamerton_440, Alex Katkov, Alexey, Evgeny Vrublevsky, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Maria Burtseva, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Дмитрий Мисюра, Yuliia Zinko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев

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Разрешение на публикацию: https://goo.gl/6n4dT7
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/3LopI4YeC4I

Machine Learning
4 Views · 2 years ago

SUSCRÍBETE para ver todos nuestros videos: @VeritasiumES

Visitamos la Armada de los Estados Unidos para probar los mejores anteojos de visión nocturna del mundo. Dirígete a https://brilliant.org/veritasium para comenzar tu prueba gratuita de 30 días, y las primeras 200 personas obtendrán un 20% de descuento en una suscripción premium anual.

Si estás buscando un kit de modelado molecular, visita https://ve42.co/SnatomsV para probar Snatoms, un kit que inventé donde los átomos se unen magnéticamente.

Un agradecimiento enorme al Dr. Ben Conley y a todo el equipo del Centro de Guerra Naval Surface, División Crane. Puedes conocer más sobre su trabajo aquí: https://www.navsea.navy.mil/Home/Warf...


▀▀▀
Referencias del video:
Tyson, J. (2001). Cómo funciona la visión nocturna. How Stuff Works. - https://ve42.co/HSWNightVision
Montoro, H. P. Intensificación de imágenes: la tecnología de la visión nocturna. Photonics. - https://ve42.co/PhotonicsTech
Brain Stuff - HowStuffWorks a través de YouTube - https://ve42.co/HSWVideo
Photonis a través de YouTube - https://ve42.co/Photonis
Operator Drewski a través de YouTube - https://ve42.co/NVGaming
Dispositivo de visión nocturna a través de Wikipedia - https://ve42.co/NVWiki
Intensificador de imagen a través de Wikipedia - https://ve42.co/Intensifier
Lodriguss, J. Cómo funcionan las cámaras digitales. AstroPix. - https://ve42.co/AstroPix
Kinka-Byo. (2019). ¿Cuál es la causa física del aumento de ruido a ISO alto? StackExchange. - https://ve42.co/PhotoISO
Macias, A. (2015). Las NVG secretas que usó el SEAL Team Six en la incursión contra Bin Laden. Business Insider. - https://ve42.co/BINightVision
Van Dommelen, L. Emisión termoiónica. Mecánica cuántica para ingenieros. - https://ve42.co/Thermoionic
Nave, R. (2016). Radiación de cuerpo negro. HyperPhysics. - https://ve42.co/BlackBody
Terminología de visión nocturna - Generaciones. ModArmory. - https://ve42.co/ModArmory
NASA (2018). Detectores de rayos X - Detección de corriente eléctrica. - https://ve42.co/NASAXRay

Imágenes y videos:
Informe de Osama Bin Laden, a través de CNN en YouTube - https://ve42.co/CNNOBL
Escena de incursión nocturna de Sicario, a través de Movieclips en YouTube - https://ve42.co/Sicario
Metraje de Splinter Cell, a través de Ubisoft en YouTube - https://ve42.co/SplinterCell
Escena de visión nocturna de Step Brothers, a través de masusockvevo en YouTube - https://ve42.co/StepBrothers
Informe de Ucrania, a través de CNN en YouTube - https://ve42.co/CNNUkraine
Metraje de la cámara de imagen térmica FLIR K2, a través de Teledyne FLIR en YouTube - https://ve42.co/FLIRK2
Imágenes del Observatorio de rayos X Chandra, a través de la NASA - https://ve42.co/NASAChandra

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Agradecimientos especiales a nuestros seguidores de Patreon:
Adam Foreman, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Chris Harper, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., John Kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, Meg Noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

▀▀▀
Dirigido por Emily Zhang
Escrito por Emily Zhang y Derek Muller
Editado por Trenton Oliver
Animado por Mike Radjabov, Fabio Albertelli e Ivy Tello
Filmado por Trenton Oliver, Emily Zhang, Derek Muller y Raquel Nuno
Producido por Emily Zhang y Derek Muller

Miniatura por Ren Hurley
Video/fotos adicionales proporcionados por Getty Images y Pond5
Música de Epidemic Sound

Video en Inglés del Canal @Veritasium: https://youtu.be/UAeJHAFjwPM

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Machine Learning
29 Views · 2 years ago

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

Можно ли одной рукой поднять над головой гриф с диском весом 20 кг на конце? Если вы невероятно сильный, то можно. А если вы Дерек Маллер, то этот диск придется сначала очень быстро раскрутить.

Ответ: https://youtu.be/FasivFKE0Tc
Гироскопическая прецессия: https://youtu.be/uMQ85tOPSO4

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
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:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Nadia Kilgishova, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, F23D24, Alexey, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.pr, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Dim iONkinberg, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Evgeny Vrublevsky, Ihar Marozau, Александр Фалалеев

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/user/1veritasium
Источник: https://youtu.be/GeyDf4ooPdo

Machine Learning
27 Views · 2 years ago

🔥Enroll for the Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

#DataAnalyticsCourse #DataAnalystForBeginners #DataAnalyticsTraining #Intellipaat

This Data Analytics Course covers all the important skill sets required to become a Data Analyst!

We will begin this Data Analytics course by getting introduced to an important prerequisite, which is Python Programming Language, then we will look into Statistics, Probability vs. Statistics, as well as SQL. Next, we will discuss the Difference Between NoSQL And SQL, SQL Server Fundamentals, Data Sources in PowerBI, SQL with PowerBI, etc. Finally, we will cover Data Transformation and Modeling with PowerBI as well as Data Visualization with Power BI Service. Finally, we will cover the most commonly asked Data Analytics interview questions.

🔵 Following topics are covered in this Data Analytics Course
00:00:00 - Introduction
00:03:19 - What is Data Analytics?
00:08:12 - Introduction to Python
00:21:17 - Basics of Python
00:53:59 - Global Variable in Python
03:02:22 - Introduction to Statistics
03:14:21 - Types of Data
03:20:16 - The Central Tendencies
03:26:46 - Variability and Spread
03:27:55 - Implementation in R
03:34:46 - Probability
03:37:26 - Probability Terminology
03:45:02 - Probability Distribution
03:46:51 - Covariance and Correlation
03:57:37 - Hypothesis Testing
04:01:30 - Decision Error
04:25:58 - Types of Rescaling
04:32:18 - Introduction to SQL
04:52:23 - What is NoSQL?
05:04:01 - What is DBMS and RDBMS?
05:17:09 - SQL Server Fundamentals
05:46:29 - What Are Data Types?
07:14:45 - Data Manipulation Language (DML)
07:46:16 - Power BI
08:26:30 - Primary Key and Foreign Key Relationship
09:25:35 - Direct Query Mode
10:06:32 - Data Transformation and Modeling Power BI
10:21:01 - Data Visualization with Power BI Service
11:15:43 - Data Analytics Interview Questions

✅What is a data analytics course?
Data analytics is the process of analyzing raw data to draw out meaningful, actionable insights, which are then used to inform and drive smart business decisions.

✅What is the basic qualification for data analytics?
Aspiring students must earn a bachelor's degree, ideally in statistics or information technology, with at least 60% overall or an equivalent grade point average (CGPA). To become a Data Analyst, students must hold a degree in Economics, Statistics, Computer Science, or Mathematics.

➡ About the Course
Enroll in this advanced certification by IITM Pravartak (The Technology Innovation Hub of IIT Madras) and Intellipaat and learn under the expert guidance of the IIT Madras faculty. The program is designed by industry experts to help you master AWS, cloud computing, VPC, etc., through real-time hands-on projects.

➡Who should take this course?
☑Non-IT Professionals in HR, banking, marketing, sales, etc.
☑BI Professionals
☑Data Analytics Professionals
☑Project Managers
☑Software Developers
☑Information Architects
☑Freshers and Undergraduates can apply for the course

✅ Key Features
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras Faculty and Industry Practitioners
👉🏼One-on-one with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼No-cost EMI Option

What’s Covered in This Program?
✅Data wrangling with SQL
✅Presto
✅Introduction to Data Science and Statistics
✅Business Problem Solving, Insights and Storytelling
✅Optimization Techniques
✅KNIME
✅Statistics and Machine Learning using R Programming
✅Predictive Modeling
✅Time-Series Forecasting
✅Feature Engineering
✅Advance Machine Learning Techniques
✅Data Science Execution Strategy
✅Business Case Studies
✅Visualization using Power BI
✅Data Science Capstone Project

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🚀 Intellipaat Advanced Certifications
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🌕 Advanced Certification in Data Science: https://intellipaat.com/advanc....ed-certification-dat
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Machine Learning
4 Views · 2 years ago

🔥Edureka's Data Science Training: https://www.edureka.co/data-sc....ience-python-certifi
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.

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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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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
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