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This Excel Data Analytics Full Course, from Beginners to Advanced video by simplilearn, will guide you through creating data visualisations and charts like a Funnel Chart in Excel, leveraging advanced functions such as SUMIFS, SUMPRODUCT, and AVERAGEIFS formulas, and mastering Data Visualization techniques, including building Excel Charts like a pro and creating multiple dependent DROP DOWN LISTS. Additionally, you'll learn Data Analytics using AI, how to use Microsoft Power Query for Data Transformation, and importing Excel data into tools like MySQL Workbench and Power BI, alongside learning about the distinctions between a Database and a Data Warehouse. With bonus content covering Automated Payslip Generators, AI in Excel, and tools like ChatGPT and Google Gemini for data analytics, you'll be well-equipped for 2024 with the top Excel formulas and insights for analysts.

The Full course will cover the following topics

00:00:00 Introduction to Excel Full Course
05:34:44 Excel Full Course Beginners to Advanced
05:38:08 How To Create A Funnel Chart In Excel
05:42:10 Big Data in 5 minutes
05:50:28 Data Analyst Roadmap
05:52:32 Data Science Vs Data Analyst
06:02:55 Data Science Vs Data Analyst
06:25:18 Data Analytics using AI
06:31:31 How To Use The Scan Function in Excel ?
06:41:49 How To Use IF Formula In Excel - ADVANCED TIPS
06:44:12 SUMIFS Formula in Excel
07:21:22 Data VisuALIZATION In EXCEL
07:27:08 Compare Two Lists And Find A Match In Excel
07:31:20 Build Excel Charts Like A Pro
07:44:34 Create Multiple Dependent DROP DOWN LIST In EXCEL
07:48:27 SUMPRODUCT Excel
07:50:18 AVERAGEIFS Formula in Excel
08:08:45 How to use microsoft power query
08:14:10 How To Import Excel Data File To MySQL Workbench
08:20:49 How To Import Excel Data In Power BI
08:22:33 How to Import Data from Web to Excel
08:52:31 Master DATA CLEANING In EXCEL
08:53:25 Database Vs Data Warehouse
09:03:46 Database Vs Data Warehouse
09:22:06 Excel Dashboard For Beginners
09:26:41 How To Use AI In Excel ?
09:42:07 How To Build Automated Payslip Generator In Excel
09:51:28 Copilot In EXCEL
10:04:10 Learn EXCEL Using Google Gemini
10:19:47 ChatGPT And Excel For Data Analytics
10:36:08 Data Transformation
11:07:07 ChatGPT for Excel Dashboard
11:30:53 Top 10 Important Excel Formulas For Analysts In 2024

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➡️ 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
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✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
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✅ Linear and logistic regression modules
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✅ Supervised Learning

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MIT 6.006 Introduction to Algorithms, Spring 2020
Instructor: Jason Ku
View the complete course: https://ocw.mit.edu/6-006S20
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The goal of this introductions to algorithms class is to teach you to solve computation problems and communication that your solutions are correct and efficient. Models of computation, data structures, and algorithms are introduced.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 15.401 Finance Theory I, Fall 2008
View the complete course: http://ocw.mit.edu/15-401F08
Instructor: Andrew Lo

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Intro to Deep Learning - Part 1

In this video, I introduce the fundamentals of deep learning with a real-world scenario:
📌 Predicting how much it will rain tomorrow (precipitation).

Suitable for beginner to intermediate practitioners in machine learning and AI.

🔍 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

💡 Coming in Part 2:
3. Machine Learning:
- Derivative
- Gradient Descent
4. Conclusion and Summary

Exploring a couple of the latest text to image generators that you can begin using right now, Stable Diffusion and MidJourney.

Stable Diffusion model download: https://huggingface.co/CompVis..../stable-diffusion-v1
MidJourney website: https://www.midjourney.com/home/
BLOOM AI model video: https://www.youtube.com/watch?v=3EjtHs_lXnk
DreamStudio: https://beta.dreamstudio.ai

Neural Networks from Scratch book: https://nnfs.io
Channel membership: https://www.youtube.com/channe....l/UCfzlCWGWYyIQ0aLC5
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Baraka is a 1992 American non-narrative documentary film directed by Ron Fricke and produced by Mark Magidson.

The word Baraka is defined within various Eastern religions as a powerful spiritual blessing that flows throughout many different aspects of life.

The Baraka project was filmed by a only 5 person crew, over a period of 14 months, in 24 different countries, and while spanning 6 of the 7 continents.

This is a short documentary released in 2008 about the 8K scanning and restoration process undertaken with the original film stock

Baraka was shot on 70mm film and then scanned at an oversampled 8K Ultra High Resolution (8,192 pixels across the frame) with DTS-HD Master Audio 5.1 @96k/24bits. It was then output onto Blu-ray in Full High Definition 1080p at a 16:9 Widescreen aspect ratio.

The scan done at 8K was oversampled, which means the film was scanned at a higher resolution than what was necessary for the final 1080p output that they intended and produced.

The purpose of scanning at 8K though was to create a super sharp, but down-sampled version of the film scan once it was output at Full HD 1080p. Thus, the resulting image from the 8K scan is a sharper quality 1080p output than if they had just scanned the film at 1080p or at a 4K scan resolution. The 1080p output from the 8K scan is also now perhaps an even better quality version than the original film print when viewed digitally on either a 1080p or 4K display.

The unanswered question though is if an 8K scan from the 65mm native film stock would produce an even more desirable looking image at 4K than at the 1080p resolution output which they had decided upon for this production.

But without there being any 4K sample outputs available (AFAIK) from the original film print to 8K scan (in order to rule out whether or not a 4K output might introduce any undesirable flaws, artifacts, or reveal any weaknesses from the physical film print at such a high resolution scan) it remains a question that still can’t be fully addressed.

In this video they also briefly mention DVD, which may be a bit confusing, but I can confirm that the 8K scan was never output at 480p resolution and was only ever released at 1080p resolution on Blu-ray.

One can still purchase the full Baraka 1080p film on Blu-ray from the 8K scan, which also includes this short documentary titled "Restoration" as a special feature on the disc. The Blu-ray disc also includes another 1+ hour documentary titled "A Closer Look” which is a BTS documentary on the shooting and production of Baraka itself.

Thus, the full 1080p version of the Baraka film, the "A Closer Look" documentary, and this short "Restoration" documentary are all included together on a single Blu-ray disc which is available from the link here: https://amzn.to/2Ii5na4

A final note in that I do not possess any copyrights to the content of this video nor is it my intention to infringe upon any existing copyrights of this content in any way. I also have no personal connection or otherwise to the producers of this video or to the creators of the Baraka film.

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In this comprehensive video on “Backend Development Full Course 2023,” we will delve into the world of backend development and cover a wide range of concepts, tools, and frameworks that are essential for building robust and scalable web applications. Whether you're a beginner looking to kickstart your programming journey or an experienced developer aiming to expand your skill set, this course provides a solid foundation in backend development. We will be covering Node js, express js which is a framework of node. After that we will cover Django, SQL, and MongoDB. we will also see what is github and in last there will be some important backend interview questions and answers.

00:00:00 - Backend Development Full Course 2023
00:05:00 - What is Backend Development?
00:12:29 - Frontend vs backend development
00:35:54 - Node js Architecture
00:40:06 - What is NPM?
00:57:22 - Node Js Demo
01:15:17 - Express js
03:01:23 - User registration form using node and express js
03:37:30 - Python Django
05:30:08 - SQL
05:57:48 - MongoDB
07:43:37 - What is Github?
08:00:53 - Interview Questions

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About Caltech Coding Bootcamp
This Caltech Coding Bootcamp will help you master both front-end and back-end Java technologies, starting with the basics and progressing to the advanced aspects of Full Stack Web Development. In this Online Coding boot camp, you will learn Angular, Spring Boot, web services, JSPs, and MongoDB to help you launch your career as a full-stack developer.

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This video on the Artificial Intelligence full course video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.

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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ 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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Thanks to Microsoft for sponsoring this video! Submit your #CodingWithCopilot story for a chance to be featured in an upcoming video!

In this video, you'll learn how to build an AI agent
from scratch in Python. I'll walk you through everything step-by-step. This will be very beginner friendly,
and you'll learn how to make something quite interesting in Python
with some popular frameworks like LangChain. I'll show you how to use various
LLMs like Claude or GPT, how you can give the agent access to various tools, and how you can structure the output of the agent
so you can use it in your code.

🎞 Video Resources 🎞
Code in this video: https://github.com/techwithtim..../PythonAIAgentFromSc
Learn Python Virtual Environments: https://www.youtube.com/watch?v=Y21OR1OPC9A
Get Your Anthropic API Key: https://console.anthropic.com/settings/keys
Get Your OpenAI API Key: https://platform.openai.com/api-keys

⏳ Timestamps ⏳
00:00 | Overview
00:35 | Agent Demo
01:38 | Setup/Requirements
06:53 | Basic Code Setup/Imports
08:37 | Using Claude or GPT
10:00 | Getting Your API Key
11:32 | Basic LLM Functionality
12:43 | Structured Output/Models
15:42 | Prompt Templates
17:33 | Creating & Running the Agent
21:00 | Output Parsing
23:39 | Adding Prebuilt Tools
30:48 | Custom Tool Calling

Hashtags
#CodingWithCopilot #Sponsored

🚀 Complete Claude Code Resources & Course: https://skool.com/scrapes
Don't miss the next build - https://www.youtube.com/@simon....scrapes?sub_confirma
Grab the full resources for this video here (free): https://scrapeshq.notion.site/....Every-Level-of-Claud

Think you're getting the most out of Claude Code? You're probably just scratching the surface. In this video, we break down the 7 levels of mastery, guiding you from basic prompting all the way to building fully autonomous systems. Stop the trial-and-error and start unlocking Claude Code's true potential today.

00:00 - Every Level of Claude Code Explained in 39 Minutes
00:41 - Level 1: The One Thing You Need To Know
03:25 - Level 2: Personalizing CLAUDE for better responses
10:25 - Level 3: Slash Commands, Skills & Hooks - Repeatability
21:21 - Level 4: Connecting Claude Code to Your Apps (MCPs)
26:18 - Level 5: Move from Executor to Supervisor
29:34 - Level 6: Agent Teams
35:57 - Level 7: Fully Autonomous Systems


#claudecodetutorial #masterclaudecode #claudecode

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

Introduces the main ideas behind Convolutional Neural Networks (CNNs). The topics are:

Challenges of Image Classification
Convolutional Neural Network Basics
CNN Architectures
What a CNN Can See
CNNs in PyTorch

Khu rừng bí ẩn tuyệt đẹp | Beautiful mysterious forest #thuysinh #aquariums

THỦY SINH NHA TRANG - THUỶ SINH MANG TÀI LỘC ĐẾN NHÀ BẠN

Thủy Sinh Nha Trang cung cấp sỉ lẻ các loại sản phẩm thủy sinh như cây thủy sinh, hồ thủy sinh, tôm cảnh, cá cảnh, tép cảnh, ốc cảnh, hồ cá thủy sinh, bể cá, phụ kiện thủy sinh, đèn thủy sinh và các thiết bị khác với giá hấp dẫn tại khu vực miền Trung. Chúng tôi chuyên về Thiết kế cảnh quan, Trang trí nội thất, Tiểu cảnh.

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#bethuysinhdep, #thuysinh, #howtobuildaquarium, #hothuysinh , #studymusic, #relaxmusic, #calmingmusic , #bethuysinhmini

All rights owned by Warner Bros.
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Hans Zimmer, Junkie XL
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In this video on " Build a Game Using Python and ChatGpt", we will learn how to make a tic-tac-toe and snake game using chatgpt. We will be using only the code generated by OpenAI's newest creation, ChatGPT. Below are the topics covered in this game using the chatgpt video:

00:00 Build a Game Using Python and Chatgpt
02:40 What is Chatgpt
04:30 Tic-Tac-Toe game
16:20 Snake Game

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A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:
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MIT Introduction to Deep Learning 6.S191: Lecture 1
*New 2024 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini

For all lectures, slides, and lab materials: http://introtodeeplearning.com/

Lecture Outline
0:00​ - Introduction
7:25​ - Course information
13:37​ - Why deep learning?
17:20​ - The perceptron
24:30​ - Perceptron example
31;16​ - From perceptrons to neural networks
37:51​ - Applying neural networks
41:12​ - Loss functions
44:22​ - Training and gradient descent
49:52​ - Backpropagation
54:57​ - Setting the learning rate
58:54​ - Batched gradient descent
1:02:28​ - Regularization: dropout and early stopping
1:08:47 - Summary

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