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Edlitera
เข้าร่วมเมื่อ 18 มี.ค. 2021
Edlitera helps teams find value in data. We provide custom upskilling and reskilling solutions through live online training programs in Python programming, data science, machine learning and data engineering.
Learn more at edlitera.com.
Learn more at edlitera.com.
What is Ensemble Learning?
This video is a short overview of ensemble learning and how it works. In this video, I demonstrate how you can create an ensemble by combining multiple machine learning models together.
Edlitera Guide on Ensemble Learning: www.edlitera.com/en/blog/posts/python-ensemble-learning
Edlitera provides on-demand and live online training in programming, data science, data analysis, and data engineering.
#pandas #python #machinelearning #AI #ensemblelearning
Edlitera Guide on Ensemble Learning: www.edlitera.com/en/blog/posts/python-ensemble-learning
Edlitera provides on-demand and live online training in programming, data science, data analysis, and data engineering.
#pandas #python #machinelearning #AI #ensemblelearning
มุมมอง: 124
วีดีโอ
Pandas Objects: Intro to DataFrames and Series
มุมมอง 272ปีที่แล้ว
New to Pandas and Python? Get started learning for free with our online courses: www.edlitera.com/ In this video, we'll cover the basics of two important types of Pandas objects: DataFrames and Series. We'll walk you through why DataFrames and Series are so important, and help you get a visual understanding of them in a Jupyter notebook. [Article] Intro to Pandas: What Are Pandas Series Objects...
Python vs. Excel for 7 Data Analysis Tasks
มุมมอง 8Kปีที่แล้ว
Both Python and Microsoft Excel are widely used tools for data analysis. What are the main differences between them? This video is a short overview of the top seven most common tasks in data analysis. In this video, I will show you how to do each of these tasks in both Microsoft Excel and in Python using the Pandas library. Edlitera article on the 7 most common tasks in data analysis: www.edlit...
How to Apply Spatial-Level Transformations to Images
มุมมอง 79ปีที่แล้ว
Looking to generate multiple artificial images for your machine learning dataset? Or just here to learn about the albumentations library in Python? This is the second part of our two-part series on Computer Vision and Image Augmentation. In this video, we’ll cover Spatial-Level Transformations and how you can build an image augmentation pipeline in Python. Video on pixel-level transformations o...
How to Apply Pixel-Level Transformations to Images
มุมมอง 254ปีที่แล้ว
This is the first part of a two-part series tutorial on image augmentation for computer vision. In this video, we’ll cover the basics of Pixel-Level Transformations and how to use the Albumentations Library in Python. Article on Image Augmentation using Pixel-level transformations: www.edlitera.com/en/blog/posts/image-augmentation-guide Video on spatial-level transformations on images (second p...
How to Use Curly Braces in Python
มุมมอง 4Kปีที่แล้ว
Welcome back to the third part in our Python Parentheses Tutorial! We continue with curly braces in Python, which are used to create dictionaries, dictionary comprehensions, sets, and to format strings. To see the previous videos in this three-part series, click the link below. How to Use Parentheses ( ) in Python (Part 1): th-cam.com/video/a3dzkuEZZyc/w-d-xo.html How to Use Brackets [ ] in Pyt...
How to Use Square Brackets in Python
มุมมอง 4.1Kปีที่แล้ว
Using Python parentheses correctly is important to avoid syntax errors. We continue our three-part Python Parentheses series with square brackets. Square brackets are used to create lists, list comprehensions, and for selecting or retrieving items from a collection. To see the previous video of this three-part Python Parentheses series, click the link below. How to Use Parentheses ( ) in Python...
How to Use Parentheses in Python
มุมมอง 3Kปีที่แล้ว
Python has three types of parentheses: standard parentheses, square brackets, and curly braces. For beginners, incorrect use of parentheses is the most common cause of syntax errors. Our three-part series will teach you how to choose the right type of parentheses and use them correctly so your road to mastering Python programming is as smooth as possible. In this first part, we will cover stand...
Code, Markdown, Raw NBConvert: How to Use Each Cell Type in Jupyter Notebook
มุมมอง 2.4Kปีที่แล้ว
Jupyter Notebook is a computational interface that was created for scientific exploration. In Jupyter Notebook, you can write and execute code, as well as insert, style and display text, images and videos. In this video, we will go over the different types of cells in Jupyter Notebook, showing you how to use each one and how to avoid some common, but troublesome pitfalls when you're first getti...
When to NOT Use a Jupyter Notebook for Writing Code
มุมมอง 5792 ปีที่แล้ว
Jupyter notebooks have a lot to offer as a software development environment, but you might wonder why anyone would use any other development environments. There are some cases where Jupyter notebooks are actually not ideal for programming. In this video, we’ll look at when Jupyter notebooks are the best option for programming and when you should choose another development environment for your p...
How Python Works in Jupyter Notebook
มุมมอง 2672 ปีที่แล้ว
Writing Python code in Jupyter notebooks is a bit different from other development environments. In this video, we will discover how to use Jupyter notebooks’ cells to write and run simple blocks of code, from a simple print function to simple arithmetic. We will also look at the benefits of using Jupyter code over using other text editors, such as iPython. If you want even more in depth tutori...
How to Open a Jupyter Notebook and Why It Works This Way
มุมมอง 7K2 ปีที่แล้ว
Jupyter notebooks are a powerful programming environment in which you can both write and run code, and see the output of your code in that same environment. This makes Jupyter notebooks a perfect environment for beginner coders to learn how to write and run their own code! This video walks you through what Jupyter notebooks are, how they work, and how you can launch and run the program. Edliter...
How to Use Markdown in Jupyter Notebook
มุมมอง 21K3 ปีที่แล้ว
In this video, we'll walk through a complete tutorial on how to use markdown in Jupyter Notebook. Read through this tutorial at: www.edlitera.com/en/blog/posts/jupyter-markdown-tutorial Learn more about what we do at www.edlitera.com
How to Summarize Text Using Python and Machine Learning
มุมมอง 23K3 ปีที่แล้ว
In this video we discuss several ways in which we can use recent advances in natural language processing and deep learning to summarize text. The techniques shown here have wide applications - from automatically extracting meaning from user reviews, to legal contract analysis, optimizing SEO strategies, financial analysis, extracting important information from electronic medical records, etc. F...
[Future of Work Ep. 7] Future of Real Estate Investing w Raj Tekchandani: How to Be A Smart Investor
มุมมอง 533 ปีที่แล้ว
What is the future of real estate investing? In a crowded real estate market, what data sources and technologies do smart investors use to get ahead of the pack? In this video, I speak with full-time real estate investment professional Raj Tekchandani, founder and managing partner of Smart Capital LLC. Join us to learn how you can use data analytics and other technology tools to identify strate...
[Future of Work Ep. 6] Future of Renewable Energy w Molly Bales: Batteries Included
มุมมอง 1543 ปีที่แล้ว
[Future of Work Ep. 6] Future of Renewable Energy w Molly Bales: Batteries Included
[Future of Work Ep. 5] Future of Marketing w Zach Braiker: Personalize, Personalize, Personalize
มุมมอง 533 ปีที่แล้ว
[Future of Work Ep. 5] Future of Marketing w Zach Braiker: Personalize, Personalize, Personalize
[Future of Work Ep. 4] Future of Sales w Santosh Sharan: Is AI Coming for Sales Jobs?
มุมมอง 2333 ปีที่แล้ว
[Future of Work Ep. 4] Future of Sales w Santosh Sharan: Is AI Coming for Sales Jobs?
[Future of Work Ep. 3] Future of Banking w Marino Vedanayagam: Data and AI Skills Wanted
มุมมอง 2003 ปีที่แล้ว
[Future of Work Ep. 3] Future of Banking w Marino Vedanayagam: Data and AI Skills Wanted
[Future of Work Ep. 2 PART 3] Future of Learning & Development w Dan Mackey: Learning Data
มุมมอง 393 ปีที่แล้ว
[Future of Work Ep. 2 PART 3] Future of Learning & Development w Dan Mackey: Learning Data
[Future of Work Ep. 2 PART 2] Future of Learning & Development w Dan Mackey: Adaptive Learning
มุมมอง 673 ปีที่แล้ว
[Future of Work Ep. 2 PART 2] Future of Learning & Development w Dan Mackey: Adaptive Learning
[Future of Work Ep. 2 PART 1] Future of Learning & Development w Dan Mackey: How to (Re)Use Content
มุมมอง 1363 ปีที่แล้ว
[Future of Work Ep. 2 PART 1] Future of Learning & Development w Dan Mackey: How to (Re)Use Content
[Future of Work Ep. 1] Future of Fashion: Using Data to Predict What Will Sell with Julie Evans
มุมมอง 1703 ปีที่แล้ว
[Future of Work Ep. 1] Future of Fashion: Using Data to Predict What Will Sell with Julie Evans
4:00 Quick tip: If someone is watching a video about Ensemble learning, they most likely know basic maths like taking the average...
Thanks a lot I didn't really catch the image part. Could you clarify how it was done ?
I am new to Panas and Python and I dont know how but I know there is a way you cant sort your data descending and I dont get why you would not show that way. Also I dont see where you explained the double brackets for in your video about brackets in Python.
Excellent explanation!!! Wow
In pd.pivot_table, what if I want Runtime(min) & votes as value. One aggregated as avg and other as sum? Great video by the way.
Nice dear, I'm Data Analytics intern, this is useful content
maam you are working hard , you earned a subscriber, keep hustling, best wishes.
Can I use Pegasus to genera French summary??
Great video. I am gonna subscribe to your channel
❤❤❤❤
How make automatic numbered headers?
Merging data sets in Excel the right way is done using Power Query, NOT VLookup. And if, for whatever reason, you'd still like to use something like VLookup, the better, newer, alternative is XLookup
how do you display in and out?
Another important use of brackets not mentioned here is for implied line continuation to allow expressions to be split across multiple lines of code.
sizing images is never implemented in markdown because people using it don't need image sizing. I have never seen a stupider tool than markdown. I have spent 4 hours on the internet in the hopes to find how one can resize an image in markdown. Needless to say, resizing images is not implemented in markdown. You have to have a special syndrome to use it I guess.
Thanks for your thorough explanation! You are so cute.😁
Yes keep making the videos. More videos
Thanks, Claudia, this comparison video immensely helped.
you are not freaking good in explaining things, you are actually freaking great!
🙏 🙏
Very well done explained but could you please apprise us about how to change the colour of the headings from level 1 to level 6 in Jupyter. Thanks,
Do I need to install pytorch and sentencpiece for pegasus?
Excellent learning madam
🎉
This video should have been perfect 15 years ago. It compares functionalities available in Excel before 2010 with modern Python libraries. Now we have Power Query in Excel for example. And using it you can easily, with just one line of code, do the two bonus cool things that the author of the video pretends can not be done in Excel. They can be done, you just don't know how. Hint - use Table.Profile and Table.Schema functions in Power Query.
A lot of Excel misrepresented here. Have never seem someone sort like that, didn't have her data in a table, used VLookup not XLookup, reference scrolling to the bottom of a sheet when you can just Ctrl+Down or easy formula to select top & bottom, didn't ever mention PowerQuery and the thousand crazy things it can do.
The value of the video is showing a direct comparison of things that are commonly done in Excel and how they can be done in Python. It's useful for someone like me who uses Excel A LOT and wants to switch to Python.
Thank you, you deserve a bigger audience!
Brilliant content! Thank you 🙏🏻
Can you show the way to convert a long text to an outline?
Claudia Virlanuta, you are talented in making one understand complex concepts. Keep it up. I am enjoying your Edlitera tutorials you are anchoring and grasping the subject matter easily.
Thanks, for the tutorial you made it understandable. My question is if i want to make notes for Python or a note-taking app. What and Which app would you suggest, apart from Jupyter which we all are studying...
To follow along with the code in this tutorial, please do the following: 1. Create an account on www.edlitera.com 2. Run/download the Jupyter notebook and data sets here: www.edlitera.com/workbooks/python_vs_excel Happy coding! :) Claudia
You just got a new subscriber here! I would appreciate much if the dataset has been included here we can follow along. Thanks anyway!
Hi, to find the data sets and Jupyter notebook for this tutorial, please do the following: 1. Create an account on www.edlitera.com 2. Run/download the Jupyter notebook and data sets here: www.edlitera.com/workbooks/python_vs_excel
I wish I could see how you are "running" your code. WHERE are you clicking? WHAT keys are you using to "run" ?
Hi there! I actually made several videos about that, which I think you might find useful. Here they are: 1. How to Open a Jupyter Notebook: th-cam.com/video/sSjv5fmVLFE/w-d-xo.html 2. How Python works in Jupyter Notebook: th-cam.com/video/XzFh8ZMocrs/w-d-xo.html 3. When to Use a Jupyter Notebook: th-cam.com/video/6zB5e-t6OH8/w-d-xo.html 4. Cell Types in Jupyter Notebook: th-cam.com/video/HGtsIx3pjdc/w-d-xo.html 5. How to Use Markdown in Jupyter Notebook: th-cam.com/video/mTIifW_LU5s/w-d-xo.html Happy coding! ;) Claudia
You do great tutorials. If you did tutorials about installing an IDE, Pandas and a simple Python project, I'm sure you would have many many many viewers. I appreciate that you have the audio dialed in as well.
Thanks so much for the feedback! :) I actually made several videos about installing and using Jupyter notebooks, which I think you might find useful. Here they are: 1. How to Open a Jupyter Notebook: th-cam.com/video/sSjv5fmVLFE/w-d-xo.html 2. How Python works in Jupyter Notebook: th-cam.com/video/XzFh8ZMocrs/w-d-xo.html 3. When to Use a Jupyter Notebook: th-cam.com/video/6zB5e-t6OH8/w-d-xo.html 4. Cell Types in Jupyter Notebook: th-cam.com/video/HGtsIx3pjdc/w-d-xo.html 5. How to Use Markdown in Jupyter Notebook: th-cam.com/video/mTIifW_LU5s/w-d-xo.html Happy coding! ;) Claudia
Great video! thanks Claudia, where can I get the data set from? I would like to run it in my Jupyter Notebook
Hello, to find the data sets and Jupyter notebook for this tutorial, please do the following: 1. Create an account on www.edlitera.com 2. Run/download the Jupyter notebook and data sets here: www.edlitera.com/workbooks/python_vs_excel
i can't understand hard-break or image placing please make it simple or other way. thanks
Very helpful! Finally some video that helps!
Great tutorial. Comprehensive and easy to understand. Thank You!
Great tutorial. Comprehensive and easy to understand. Thank You!
Great tutorial. Comprehensive and easy to understand. Thank You!
Amazing! Explanation from Pakistan
🔥🔥🔥
Thanks a lot for this series, been always strugling with actual parenthesis syntax while code reviewing, now all is summarized nicely, appreciate it! :)
Good job
Thanks! Very useful info.
Explained in full details. To me I feel the presentation could have been separated in to different sections mentioning the history and then actual implementation.
Great video
Thank you for this. How can i give access to this markdown to people who visit my portfolio website? Can one generate a link to use in the website?
You're amazing and your videos are so helpful. Thank you
Hi Ma'am I Please Reply 🙂