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Machine Learning
21 Views · 2 years ago

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=20May2024LGLoopEvening1-MtYglLPSfGw&utm_medium=DescriptionFF&utm_source=youtube
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This video by Simplilearn is based on SQL Tutorial For Beginners. This SQL Full Course 2023 by Simplilearn is designed and curated in collaboration with real-time industry experts with Data analytics knowledge and expertise. PL/SQL is a procedural language developed especially to enhance the caliber of SQL statements without altering the original SQL syntax. SQL program units are compiled by the Oracle Database server and stored inside the database.

Topics we will be covering:-
0:00:00 SQL Tutorial For Beginners
0:00:25 Introduction to SQL
0:03:32 What is SQL Tutorial?
0:15.33 What is DBMS?
0:32:30 Installation of MySQL on PC
0:40:10 SQL Syntax, Data types, Commands
1:00:32 What are SQL Operators?
1:23:15 What are SQL Expressions?
1:34:02 How to create a database in MySQL?
1:40:44 What is SQL Table Tutorial?
1:57:39 SQL Select Statement tutorial
2:19:41 What is SQL Clause?
2:44:29 SQL Insert Statement tutorial
2:53:48 SQL Update Statement tutorial
3:01:12 SQL Delete Statement tutorial
3:10:21 What is SQL Join?
3:51:37 What are Keys in SQL?
4:04:53 What are Aggregate Functions?
4:21:12 What are Scalar Functions?
4:37:10 SQL Group by and Order by
4:57:08 How to use Where Clause in SQL?
5:01:24 SQL Where vs Having Clause
5:21:15 What are Subqueries?
5:31:27 How to Create a user defined Function in SQL?
5:42:51 What is Commit and Rollback in SQL?
5:58:35 SQL Like Clause Tutorial
6:11:52 How to find Nth highest Salary?
6:25:58 WebSQL Tutorial
6:41:00 Cast and Convert Function in SQL
6:57:21 What is View In SQL?
7:17:03 SQL Interview Questions for Beginners

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#SQLTutorialForBeginners #SQLFullCourse #SQLCourseForBeginners #SQL #LearnSQLForBeginners #SQLForBeginners #SQLTutorial #SQLCourse #SQLTraining #SQLStructuredQueryLanguage #Simplilearn

What is SQL?
SQL stands from Structured Query Language. It is used to communicate with several relational databases such as MySQL, Oracle and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data that is stored in the form of rows and columns. You can also permit users to perform specific tasks on tables, procedures, and views. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL).

➡️ 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
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- 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
21 Views · 2 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) :
https://www.edureka.co/microso....ft-azure-data-engine
In this Data Engineering Course, you will learn what is Data Engineering, How to
Become a Data Engineer, Why Data Engineering is important, What is Big Data Engineering, the Importance of Big Data, the Difference between Data Engineer and Data Scientist, Big Data Engineering, What is Hadoop, Apache Spark Tutorial, AWS Elastic Map Reduce Tutorial, Azure Data Tutorial, Data Engineering Career Roadmap and lot more. This Data Engineer Full Course will help you to understand Data Engineering from scratch.

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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Generative AI
21 Views · 2 years ago

🔥Edureka Tensorflow Training - https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka TensorFlow TFLearn Tutorial video (Blog: https://goo.gl/4zxMfU) will help you in understanding basics of TFLearn with examples.
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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Generative AI
21 Views · 2 years ago

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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►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

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

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

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Machine Learning
21 Views · 2 years ago

** Data Science Master's Program: https://www.edureka.co/masters....-program/data-scient **
This Edureka "Data Science Training" video (Data Science Blog Series: https://goo.gl/1CKTyN) will help you understand all the concepts of Data Science. This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts. Below are the topics covered in this tutorial:

1. What is Data Science?
2. Job Roles in Data Science
3. Components of Data Science
4. Concepts of Statistics
5. Power of Data Visualization
6. Introduction to Machine Learning using R
7. Supervised & Unsupervised Learning
8. Classification, Clustering & Recommenders
9. Text Mining & Time Series
10. Deep Learning

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

#Datasciencetraining #Datasciencetutorial #Datasciencecourse #Datascience #Edureka

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

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

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

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. "

Machine Learning
21 Views · 2 years ago

🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Statistics For Machine Learning' is the second class in the Python Machine Learning Series which gives a brief introduction to Statistics and Probability for Machine learning.

🟠 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
Blog Series: http://bit.ly/2sqmP4s

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----------------------------Edureka Masters Programs--------------------------
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#Edureka #PythonEdureka #pythonML #pythonMLseries #statisticsforML #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

Machine Learning
21 Views · 2 years ago

** Machine Learning Training with Python: https://www.edureka.co/data-sc....ience-python-certifi **
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.
Topics covered in this session:
00:00 Introduction
00:33 Google Maps
02:01 Facebook
03:38 UberEats
05:15 Amazon
06:16 iPhone
07:52 Tesla
09:49 Netflix
10:32 Moley
11:43 Google Translate
12:43 Kuka

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

Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining

How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!


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

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

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

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

Why learn Machine Learning with Python?

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

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

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Machine Learning
21 Views · 2 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/google-....cloud-architect-cert (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on Introduction to Google Cloud Machine Learning gives you an overview of what machine learning is, how Google Cloud Platform is used for Cloud ml deployments, the various machine learning services provided by GCP and a demo on Document AI and it’s integration with python.
The following pointers are covered in this Introduction to Google Cloud Machine Learning video:
What is Machine Learning?
Why Use Google Cloud for Machine Learning ?
Google Cloud Platform ML Services
Google Cloud ML Features
Demo: Deployment of ML models on Google Cloud
Use Case: Spotify

📝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---------

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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
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📢📢 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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About Course:
This course will help you pass the Google Cloud Certification Exam for Cloud Architect. The topics mentioned are strictly in line with the official exam guide provided by Google. The course starts with basics of Cloud Computing and as the course progresses you will understand the GCP core infrastructure, how to manage GCP services. This course will also cover how to use command line tools to import data into google cloud storage and run query for data analysis

What are the objectives of our GCP Architect Certification Training?

After completing this Google Cloud Certification training, you should be able to:

· Understand Google Cloud Platform concepts and terminologies
· Understand GCP products and services
· Learn methods to develop, implement, and deploy solutions
· Distinguish between features of similar or related products and technologies
· Learn to work with the Compute Engine, Cloud Storage, Cloud SQL and Big Query GCP services
· Manage GCP environments using three different methods (Console, App, Command-Line)

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

Machine Learning
21 Views · 2 years ago

( Data Science Training - https://www.edureka.co/data-sc....ience-r-programming- )
This Logistic Regression Tutorial shall give you a clear understanding as to how a Logistic Regression machine learning algorithm works in R. Towards the end, in our demo, we will be predicting which patients have diabetes using Logistic Regression!

In this Logistic Regression Tutorial video you will understand:

1) The 5 Questions asked in Data Science
2) What is Regression?
3) Logistic Regression - What and Why?
4) How does Logistic Regression Work?
5) Demo in R: Diabetes Use Case
6) Logistic Regression: Use Cases

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!

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

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.

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

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

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

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).

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

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. "

Machine Learning
21 Views · 2 years ago

🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=ArFhzPe7j2c&utm_medium=DescriptionFirstFold&utm_source=Youtube
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Chat GPT for Programming by simplilearn is dedicated for aspiring software developers and web developers to understand the fundamentals of Programming Using ChatGPT. This ChatGPT For Beginners by simplilearn, is a roadmap for creating a compelling YouTube description for a channel focused on programming with ChatGPT can enhance your visibility and engagement.

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⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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Machine Learning
21 Views · 2 years ago

🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=Wms88jy6vSk&utm_medium=DescriptionFirstFold&utm_source=Youtube
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This Video on Data Analytics Full Course by simplilearn will help you learn everythin you need to know about data analysis. this data analytics full course covers the basics through What is Data Analytics and the Data Analyst Roadmap to advanced topics such as Data Analytics using AI and Data Analysis with Python. You'll learn key skills like Data Manipulation in R, Data Transformation, and SQL Introduction, including Normalization in SQL and SQL CTE. Understand the differences between Data Science vs Data Analyst and gain hands-on experience creating PowerBI Dashboards in minutes. Additionally, explore DBMS, Top BI Terms every data analyst should know, and prepare for interviews with common Data Analytics Interview Questions. Finally, leverage ChatGPT and Excel with Data Analytics to enhance your learning.

0:00:00 Introduction to Data Analyst Full Course
0:01:24 What is Data Analytics
0:09:42 Data Analyst Roadmap
0:13:23 Steps Involved in Data Analytics
0:15:27 Data Science Vs Data Analyst
0:25:50 Data Science Vs Data Analyst
0:26:58 What is DBMS
0:37:41 What is DBMS
0:38:30 Top BI Terms every data analyst know
0:44:25 Top BI Terms every data analyst know
0:58:22 Create PowerBI Dashboard in minutes
1:43:37 Who is a Data Analyst till R or Python
3:22:54 Data Analysis with Python
3:39:15 Data Transformation
7:04:13 Data Manipulation In R
7:19:50 Chatgpt and Excel with Data Analytics
7:20:00 Data Analytics using AI
7:42:23 Data Analytics using AI
7:45:40 SQL Introduction
7:55:36 Normalization in SQL
8:07:31 SQL CTE
8:56:37 Data Analytics INterview Questions

✅ What is Data Analytics?

Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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

#dataanalytics #dataanalyticsforbeginners #datanalysis #sql #powerbi #tableau #excel #python #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
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- 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

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=Wms88jy6vSk&utm_medium=Description&utm_source=youtube

Machine Learning
21 Views · 2 years ago

🔥 Cyber Security Certification Course: https://www.edureka.co/cyberse....curity-certification
🔥 Certified Ethical Hacking Course | CEH v13 AI: https://www.edureka.co/ceh-eth....ical-hacking-certifi

In this video, *Cybersecurity in the Age of AI* , we explore how artificial intelligence is revolutionizing the cybersecurity landscape. From AI-powered threat detection to automated responses, we uncover the opportunities and challenges AI brings to cyber defense. Whether you're curious about the benefits of AI in security or concerned about the risks of AI-driven attacks, this video provides essential insights to help you prepare for the future of cybersecurity.

✅ 00:00 - Cybersecurity in the Age of AI
✅ 01:01 - The Current Cybersecurity Landscape
✅ 01:58 - The Role of AI in Cybersecurity
✅ 03:02 - AI Powered Threat Detection
✅ 03:54 - Automated Response to Cyber Threats
✅ 04:25 - Challenges & Risk of AI in Cybersecurity
✅ 05:14 - The Dark Side: AI-Powered Attacks
✅ 05:50 - Preparation for an AI-Driven Cybersecurity Future

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

📝Feel free to share your comments below.📝

🔥 CompTIA Security (SY0-701) Exam - Certification Training Course: https://www.edureka.co/comptia....-security-plus-certi
🔥 CISSP Certification Training: https://www.edureka.co/cissp-c....ertification-trainin

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv


🔴 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 with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌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/

What skills or experience do I need to already have before learning cyber security?

Learning fundamentals of computer basics, how operating systems work, basics of networking and how it functions can be useful before you are planning to enroll in a Cyber Security bootcamp. Having surface level knowledge about these can help you in the long run.

What are the basics to learn ethical hacking?

To start with basics of ethical hacking, you can begin with network protocols(rules that allow computers to communicate) and tools, hardware fundamentals, linux, and programming languages such as python, PHP, C, JavaScript, and SQL. Apart from these you can also learn how systems can be weak or open to attacks, different ways of hacking, and the laws that control ethical hacking for starters.

Which are the best foundation programs in cyber security course for beginners?

For someone who is starting in Cyber Security field, it is important to clear the concepts on important topics such as network security, cryptography, authentication, risk management, the basics of ethical hacking and fundamentals of cyber threats.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

Generative AI
21 Views · 9 months ago

Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 3 of that workshop.

In this, we cover the following four aspects:

1. 00:00 Recap of the SLM architecture
2. 18:30 Calculating the SLM Loss
3. 58:27 SLM Pre-training loop: Theory + Coding
4. 01:23:00 SLM Inference

If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-

Generative AI
21 Views · 9 months ago

Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/Bdnd3d

Learn more about Large Language Models (LLMs) here → https://ibm.biz/Bdnd3x

What if you could run large language models locally with just one command? 🚀 Cedric Clyburn shows how Ollama, an open-source tool, simplifies deploying LLMs on your machine. 💡 Protect your data, save costs, and explore powerful AI solutions—all from your own system. ✨

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/Bdnd3D

#ollama #opensourceai #llm

Generative AI
21 Views · 7 months ago

Agentic AI is taking over conversations — but what does it really mean? In this video, we explore how Agentic AI goes beyond prompts and conversations to act, learn, and evolve — just like real-world autonomous systems. From perception to action, from reasoning to learning, we dive deep into the architecture of modern agents. You’ll learn how to build your own AI agents using tools like GPT-4, LangChain, and OpenAI's Agent SDK, and why the Model Context Protocol (MCP) is a critical layer for intelligent orchestration. Whether you're building with LLMs, deploying code autonomously, or scaling intelligent systems, this video has the insights to elevate your understanding.

My Linkedin Profile: https://www.linkedin.com/in/bytemonk/

📌 Timestamps
00:00 – Hook: Agentic AI – Hype or Reality?
00:35 – How Agentic AI Goes Beyond Autonomous AI
00:49 – Perceive, Reason, Act, Learn: The Agentic Loop
02:32 – How Modern Agents Actually Work (Architecture Breakdown)
04:14 – Real-World Example: Code Deployment Agent
05:38 – Tools to Build Agents: LangChain, Agent SDK & More
07:00 – What is MCP & Why It Matters in Agentic Workflows
07:55 – Final Thoughts: Future of AI is Agentic


https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB

AWS Certification:
AWS Certified Cloud Practioner: https://youtu.be/wF1pldkQrOY
AWS Certified Solution Architect Associate: https://youtu.be/GzomXNLFgkk
AWS Certified Solution Architect Professional: https://youtu.be/KFZrBxSA9tI

#AgenticAI #AIEngineering #LangChain #GPT4 #AutonomousAI #MCP #SoftwareEngineering

Generative AI
21 Views · 7 months ago

I sit down with my dear friend Vin (Internet Vin) for a deep, hands-on walkthrough of how he uses Obsidian and Claude Code together as a thinking partner, idea generator, and personal operating system. Vin demonstrates live how Claude Code can read, reference, and surface patterns across an entire Obsidian vault of interlinked markdown files — turning years of personal notes into actionable insights, project ideas, and even custom commands. This episode covers everything from the basic setup to advanced workflows like tracing how ideas evolve over time, generating contextual startup ideas, and delegating tasks to autonomous agents. If you are serious about getting the most out of LLMs, this is the episode that shows you how your own writing becomes the fuel.

Timestamps
00:00 – Intro
02:10 – What Is Claude Code?
06:45 – What Is Obsidian?
10:28 – Obsidian CLI: Giving Claude Code Access to Your Vault
14:53 – Thinking Tools: Ghost, Challenge, Emerge, Drift, Ideas, Trace
22:51 – The Role of Reflection in Building a Powerful Vault
25:15 – How This Relates to OpenClaw (Autonomous Agents)
29:13 – Live Demo: /Connect — Bridging Two Domains
31:25 – Meeting Notes & External Info
33:23 – Why Vin Keeps a Strict Separation: Human-Written vs. Agent-Written
35:42 – How Claude Code uses Obsidian
41:46 – Live Demo: /Ideas — Generating Actionable Ideas from Your Vault
47:10 – The /Graduate Command
50:29 – Why Obsidian Is the Missing Link for AI Companies
54:53 – The Alpha: Why 99.99% of People Won't Do This
57:38 – Closing Thoughts & Where to Follow Vin

Key Points

* Claude Code is a command-line agent that can control your computer through natural language — and its power multiplies when you feed it rich, persistent context files instead of re-explaining projects every session.
* Obsidian is uniquely valuable because it sits on top of interlinked markdown files; the new Obsidian CLI lets Claude Code see both the files and the relationships between them.
* Vin built custom slash commands (/trace, /connect, /ideas, /ghost, /drift, /challenge) that let him use Claude Code as a thinking partner — surfacing latent patterns, contradictions, and ideas he would never see on his own.
* Writing and daily reflection are the engine of the entire system: the more you write, the more context the agent has, and the more it can do for you.
* Markdown files are the real oxygen of LLMs; if you are serious about building a personal OS with AI, a centralized note-taking tool built on markdown is foundational

Numbered Section Summaries

1. Obsidian as an Interlinked Knowledge Base

Vin introduces Obsidian as an interface that sits on top of a folder of markdown files, with the critical addition of backlinks — connections between files that mirror how the brain forms associations. He walks through his own vault, showing how daily notes, project files, and notes on people all link together in a visual graph.

2. Obsidian CLI: The Bridge Between Your Vault and Claude Code

The real breakthrough comes from Obsidian CLI, which gives Claude Code access to both the files and their interrelationships. This means the agent can see that a note about filmmaking is connected to a note about world building, and can surface cross-domain patterns you have been circling for months without realizing it.

3. Custom Slash Commands as Thinking Tools

Vin demonstrates a suite of custom commands he built: /context loads his full life and work state; /today pulls calendar, tasks, and daily notes into a prioritized plan; /trace tracks how an idea has evolved over time; /connect bridges two domains using the vault's link graph; /ghost answers a question the way Vin would; /challenge pressure-tests his current beliefs. These turn Claude Code from a generic assistant into a deeply personalized thinking partner.

4. Markdown Files as the Foundation of the AI Era

I make the case that if you are serious about using LLMs to their full potential, a centralized markdown-based note-taking system is table stakes. Writing and reflection are the raw material; files are perfect memory where human recall is flawed; and the 99.99% of people who skip this step are leaving massive value on the table.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/

FIND VIN ON SOCIAL
X: https://x.com/internetvin
Youtube: https://www.youtube.com/@otherstuffpod
Personal Website: https://internetvin.com/Index




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