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.

✏️ Course created by @KhattakDev
YouTube: https://youtube.com/khattakdev
Twitter: https://twitter.com/khattakdev
Instagram: https://www.instagram.com/khattakdev

⭐️ Contents ⭐️
⌨️ (0:00:00) Start
⌨️ (0:00:22) Learning Objectives
⌨️ (0:01:29) Introduction
⌨️ (0:02:50) What makes it fast?
⌨️ (0:04:49) Creating Static Server
⌨️ (0:17:29) Using Templates
⌨️ (0:24:39) Tailwind Integration
⌨️ (0:32:30) Env Variables
⌨️ (0:40:58) Deployments
⌨️ (1:00:22) Configurations
⌨️ (1:30:35) Wrap Up

🎉 Thanks to our Champion and Sponsor supporters:
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
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 Naïve Bayes
00:31:36 Mathematical Working of Naïve Bayes
00:39:24 Example

📝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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About the Machine Learning with Python Training
Edureka’s 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.

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Sebastian's books: https://sebastianraschka.com/books/
The lecture slides are available at: https://github.com/rasbt/stat4....53-deep-learning-ss2

Covers some of the basics of recurrent neural networks. In particular, this lecture covers

RNNs and Sequence Modeling Tasks: 00:00
Backpropagation Through Time: 20:23
Long-short term memory (LSTM): 31:42
Many-to-one Word RNNs: 45:16
Generating Text with Character RNNs: 50:45
Attention Mechanisms and Transformers: 1:00:09

In this tutorial we show how to do transfer learning and fine tuning in Pytorch!

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
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GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

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PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

In this video we go through how to code the ResNet model and in particular ResNet50, ResNet101, ResNet152 from scratch using Pytorch.

ResNet Paper:
https://arxiv.org/abs/1512.03385


People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
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PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

OUTLINE:
0:00 - Introduction
0:31 - Overview of the ResNet paper
6:40 - Coding ResNet

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This Edureka "𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐮𝐥𝐥 𝐂𝐨𝐮𝐫𝐬𝐞" video will help you learn the Python programming language and core python concepts with examples from scratch. This python for beginners tutorial is the best video to start learning python programming language with examples.
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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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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Salesforce is a cloud based platform which has transformed how companies have changed the ways to connect, build meaningful and lasting bond with the customers, identify their needs and address problems faster and deploy apps that are customer focused. We are offering the top Salesforce tutorial that can be watched by anybody to learn Salesforce.

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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦(𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎): https://www.edureka.co/masters....-program/machine-lea
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 Naïve Bayes
00:31:36 Mathematical Working of Naïve Bayes
00:39:24 Example

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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
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About the Machine Learning with Python Training
Edureka’s 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.

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In this video on large language models, we’ll take a look at Large Language Models (LLMs) and understand what they are all about. First, we’ll explain what LLMs are and why they’re becoming so important in the world of technology. You’ll learn what these models do and how they’re used in areas like healthcare, finance, and customer service. We’ll also talk about how large language models are trained. These models use huge amounts of data to learn and create human-like text. We’ll break down how they work, from understanding language to predicting what comes next in a sentence.
Lastly, we’ll explore where LLMs are used today, such as in chatbots, content creation, and translations. These models are helping businesses work smarter and faster.

00:00 Introduction to LLMs
02:17 What are large language models?
03:22 How LLMs are trained?
05:05 How LLMsWork?
05:48 Applications Of LLMs

What is a large language model?
A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data — hence the name "large." LLMs are built on machine learning: specifically, a type of neural network called a transformer model.

Is ChatGPT a large language model?
The reason is that Large Language Models like ChatGPT are actually trained in phases. Phases of LLM training: (1) Pre-Training, (2) Instruction Fine-Tuning, (3) Reinforcement from Human Feedback (RLHF).

What are LLM examples?
For example, LLMs could be used to create personalized education or healthcare plans, leading to better patient and student outcomes. LLMs can be used to help businesses and governments make better decisions by analyzing large amounts of data and generating insights.

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Are you confused about What are Large Language models (LLMs)?
Which LLM to use according to your problem statement?
Which LLM is affordable and Which LLM is Open Source?
What are Top LLMs in Market today 2023?

Then this video is your solution!, Join me on an exciting journey into the world of Large Language Models (LLMs) and their impact on Artificial Intelligence. In this video, we delve deep into the capabilities of cutting-edge LLMs, their applications in Generative AI, and how they are transforming the fields of Content Generation, Software Development, Data Science, and many more domains. Discover the power of language generation, natural language processing, and creative AI. Stay up-to-date with the latest advancements in AI and explore the endless possibilities with Large Language Models. Don't miss this opportunity to expand your knowledge and explore the limitless potential of AI-driven language technologies.

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