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๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฅ๐๐ง๐ข๐ฎ๐ฆ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ (Use code "๐๐๐๐๐๐๐๐๐") : https://www.edureka.co/seleniu....m-certification-trai
This Edureka video on "how to become a test automation engineer" will provide you with detailed and comprehensive knowledge on how to become a successful Test Automation Engineer. It will guide you through the path one should take with the appropriate skills and the roles and responsibilities of Test Automation Engineer.
Topics Covered:
00:00:00 Introduction
00:01:07 What is Software Testing
00:01:57 Who is a Test Automation Engineer
00:02:18 What does a Test Automation Engineer do?
00:02:39 Roadmap
00:04:22 Job Roles
00:07:11 Roles and Responsibilities
00:09:03 Skills
00:15:05 Companies Hiring Test Automation Engineer
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๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
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๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฅ๐๐ฌ๐๐จ๐ซ๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐) : https://www.edureka.co/salesfo....rce-administrator-an
This "๐๐๐๐ฎ๐ซ๐ข๐ญ๐ฒ ๐ข๐ง ๐๐๐ฅ๐๐ฌ๐๐จ๐ซ๐๐" video by Edureka will help you understand the different levels of security in salesforce. It will also talk about some of Salesforce security features and it's best practices.
00:00:00 Introduction
00:00:51 Agenda
00:01:15 Organizational Level Security in Salesforce
00:06:45 Objective Level Security in Salesforce
00:10:54 Field Level Security in Salesforce
00:12:34 Record Level Security in Salesforce
00:16:10 Salesforce Security Features
00:17:57 Salesforce Security Best Practices
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What is a large language model? How can it be used to enhance your business? In this conversation, Ali Rowghani, Managing Director of YC Continuity, talks with Raza Habib, CEO of Humanloop, about the cutting-edge AI powering innovations todayโand what the future may hold.
They discuss how large language models like Open AI's GPT-3 work, why fine-tuning is important for customizing models to specific use cases, and the challenges involved with building apps using these models. If you're curious about the ethical implications of AI, Raza shares his predictions about the impact of this quickly developing technology on the industry and the world at large.
Thanks to Raza and Humanloop for joining: https://humanloop.com/
Apply to Y Combinator: https://www.ycombinator.com/apply/
Work at a Startup: https://www.ycombinator.com/jobs
Chapters (Powered by https://bit.ly/chapterme-yc) -
00:00 - Intro
01:30 - Large Language Models (LLM)
04:32 - What is fine-tuning a model?
07:38 - Build Apps using LLM
09:46 - Future of the Developer Job
11:32 - Breakthroughs
15:17 - OpenAI Mission
17:30 - LLM for Startups
18:51 - Hiring at HumanLoop
Learn how to use Vite, a build tool and development server designed specifically for modern web development. This course covers various topics, including creating a static server, using templates, integrating Tailwind, using environment variables, deploying to GitHub, Netlify, and Vercel, and configuring Vite. It also discusses the features of Vite, including hot module replacement and static asset handling.
โ๏ธ Course created by @KhattakDev
YouTube: https://youtube.com/khattakdev
Twitter: https://twitter.com/khattakdev
Instagram: https://www.instagram.com/khattakdev
โญ๏ธ Contents โญ๏ธ
โจ๏ธ (0:00:00) Start
โจ๏ธ (0:00:22) Learning Objectives
โจ๏ธ (0:01:29) Introduction
โจ๏ธ (0:02:50) What makes it fast?
โจ๏ธ (0:04:49) Creating Static Server
โจ๏ธ (0:17:29) Using Templates
โจ๏ธ (0:24:39) Tailwind Integration
โจ๏ธ (0:32:30) Env Variables
โจ๏ธ (0:40:58) Deployments
โจ๏ธ (1:00:22) Configurations
โจ๏ธ (1:30:35) Wrap Up
๐ Thanks to our Champion and Sponsor supporters:
๐พ Nattira Maneerat
๐พ Heather Wcislo
๐พ Serhiy Kalinets
๐พ Erdeniz Unvan
๐พ Justin Hual
๐พ Agustรญn Kussrow
๐พ Otis Morgan
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
๐ฅ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ ๐๐๐ฌ๐ญ๐๐ซ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ: https://www.edureka.co/masters....-program/machine-lea (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐)
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 session:
00:00:00 Introduction
00:00:25 Agenda
00:01:35 What is Machine Learning
00:13:47 Introduction to Classification
00:17:28 Classification Algorithms
00:18:30 What is Naรฏve Bayes
00:31:36 Mathematical Working of Naรฏve Bayes
00:39:24 Example
๐Feel free to comment your doubts in the comment section below, and we will be happy to answer๐
-------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
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๐ Python Developer Masters Program : https://bit.ly/3j8YYkg
๐ต Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax
--------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ผ๐๐ ๐๐ฟ๐ฎ๐ฑ๐๐ฎ๐๐ฒ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ--------
๐ต Artificial and Machine Learning PGD with E & ICT Academy
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๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
โฉ๐๐จ๐ฉ ๐๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ฎ: https://bit.ly/3yhEs7S
โฉ๐๐จ๐ฉ ๐๐ ๐๐ข๐ ๐ก๐๐ฌ๐ญ ๐๐๐ฒ๐ข๐ง๐ ๐๐จ๐๐ฌ ๐
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๐๐
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About the Machine Learning with Python Training
Edurekaโs Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, 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 this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.
What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous.
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ก๐๐ญ๐๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ - ๐๐๐ ๐ข๐ง๐ง๐๐ซ๐ฌ ๐ญ๐จ ๐๐๐ฏ๐๐ง๐๐๐: https://www.edureka.co/openai-....chatgpt-training-cou
In this Edureka video on ๐๐ก๐๐ญ๐๐๐ ๐๐ฎ๐ญ๐จ๐ซ๐ข๐๐ฅ ๐๐จ๐ซ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐๐ซ๐ฌ, you will learn how to use ChatGPT for coding and programming using different languages. ChatGPT can become a very. useful tool for every developer.
00:00:00 ChatGPT for Developers
00:00:40 What is ChatGPT
00:01:37 How ChatGPT Works
00:02:16 ChatGPT vs Codex
00:03:16 How to use ChatGPT
00:03:51 ChatGPT for Programming
00:04:06 ChatGPT for Shell Scripting
00:08:45 ChatGPT for Python Programming
00:10:47 ChatGPT for HTML and CSS Coding
00:12:10 ChatGPT for JavaScript
โWant to learn Microsoft Azure ASAP? Batch Starting Soon for Microsoft Azure. ENROLL NOW!! Click here to get started : https://bit.ly/3j7KaCi
Intro to Deep Learning - Part 1
In this video, I introduce the fundamentals of deep learning with a real-world scenario:
๐ Predicting how much it will rain tomorrow (precipitation).
Suitable for beginner to intermediate practitioners in machine learning and AI.
๐ Topics Covered in Part 1:
1. Scenario: How can we predict precipitation?
2. Data-Driven Approach:
- Adding more variables (features)
- Nearest neighbor
- Mapping vectors to real numbers
3. Machine Learning:
- Random search
๐ก Coming in Part 2:
3. Machine Learning:
- Derivative
- Gradient Descent
4. Conclusion and Summary
We'll be using the numpy module to convert data to numpy arrays, which is what Scikit-learn wants. We will talk more on preprocessing and cross_validation when we get to them in the code, but preprocessing is the module used to do some cleaning/scaling of data prior to machine learning, and cross_ alidation is used in the testing stages. Finally, we're also importing the LinearRegression algorithm as well as svm from Scikit-learn, which we'll be using as our machine learning algorithms to demonstrate results.
At this point, we've got data that we think is useful. How does the actual machine learning thing work? With supervised learning, you have features and labels. The features are the descriptive attributes, and the label is what you're attempting to predict or forecast. Another common example with regression might be to try to predict the dollar value of an insurance policy premium for someone. The company may collect your age, past driving infractions, public criminal record, and your credit score for example. The company will use past customers, taking this data, and feeding in the amount of the "ideal premium" that they think should have been given to that customer, or they will use the one they actually used if they thought it was a profitable amount.
Thus, for training the machine learning classifier, the features are customer attributes, the label is the premium associated with those attributes.
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Python Full Course for Beginners [2023] | Python for Beginners - 12 Hours | Python Tutorial |Edureka
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00:00:00 Introduction
00:02:18 What is Python?
00:03:16 Why is python popular
00:04:32 Features of python
00:06:27 Where is python used in the industry
00:07:25 Learning path
00:08:52 career opportunities
00:09:59 Python installation
00:13:01 Naming conventions
00:13:37 Variables
00:18:19 Datatypes in python
00:23:11 Flow control( loops, conditional statements, loop control statements)
00:24:20 Conditional statements
00:34:17 Loops
00:47:06 Functions
00:59:10 data structures
01:17:52 Algorithms
01:55:18 OOPs in python ( class, objects, methods )
02:06:53 Inheritance
02:15:24 polymorphism
02:19:44 Encapsulation
02:27:00 Abstraction
02:31:34 What are Comments in Python
02:41:00 Operators in Python
02:41:56 Variables and Datatypes
03:03:58 Tuples in Python
03:17:10 Sets in Python
03:32:30 Dictionary Vs List
03:38:17 Use Cases
03:46:44 Loops in Python
04:30:22 Functions in Python
05:26:55 Arrays in Python
05:32:28 Accessing Array Elements
05:48:30 Looping through an Array
05:52:11 Inheritance in Python
05:55:07 Init Function
05:58:07 Types of Inheritance
06:06:08 Exception handling in python
06:08:53 Process of Exception handling
06:24:55 Requests in Python
06:33:13 Cookies and Headers
06:35:02 Session Object
06:48:00 DateTime Module
06:52:58 Python RegEX
07:03:28 Regular Expression Operations
07:34:10 File Handling in Python
07:57:45 How to Connect Python with MySQL DB
08:21:59 Socket Programming in Python
08:36:57 Transferring Objects in Python
08:41:35 Numpy Python
08:51:48 Numpy Operations
09:12:18 Python Pandas
10:13:10 PLotting with Pandas
10:14:42 Python Matplotlib
10:16:42 What is Data Visualization
10:47:28 Python Interview Questions and Answers
10:47:40 Basic Python Questions
11:25:12 Django Questions
11:38:45 Web Scraping Using Python Questions
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โฉ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
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This Edureka video will provide you with a detailed and comprehensive knowledge of Naive Bayes Classifier Algorithm in python. At the end of the video, you will learn from a demo example on Naive Bayes. Below are the topics covered in this tutorial:
00:00:00 Introduction
00:00:25 Agenda
00:01:35 What is Machine Learning
00:13:47 Introduction to Classification
00:17:28 Classification Algorithms
00:18:30 What is Naรฏve Bayes
00:31:36 Mathematical Working of Naรฏve Bayes
00:39:24 Example
๐Feel free to comment your doubts in the comment section below, and we will be happy to answer๐
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About the Machine Learning with Python Training
Edurekaโs Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, 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 this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.
What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous.