- Видео 156
- Просмотров 11 301 582
Rob Mulla
США
Добавлен 26 сен 2021
Learning is fun when you are driven by curiosity. I create videos that showcase what is possible with data science and programming, hopefully sparking that very curiosity.
I try to take a diverse approach to the content I create:
- Short videos that teach one specific concept.
- Tutorials that show what is possible with various python packages or machine learning models.
- Live coding streams where the topics are driven by the chat and community.
Links to my stuff:
* RUclips: youtube.com/@robmulla?sub_confirmation=1
* Discord: discord.gg/HZszek7DQc
* Twitch: www.twitch.tv/RobCodesLIVE
* Twitter: Rob_Mulla
* Kaggle: www.kaggle.com/robikscube
* Instagram datasciencerobreels/
I try to take a diverse approach to the content I create:
- Short videos that teach one specific concept.
- Tutorials that show what is possible with various python packages or machine learning models.
- Live coding streams where the topics are driven by the chat and community.
Links to my stuff:
* RUclips: youtube.com/@robmulla?sub_confirmation=1
* Discord: discord.gg/HZszek7DQc
* Twitch: www.twitch.tv/RobCodesLIVE
* Twitter: Rob_Mulla
* Kaggle: www.kaggle.com/robikscube
* Instagram datasciencerobreels/
Making Sports Predictions with Data Science
🏆 WIN a NVIDIA GeForce RTX 4080 Super GPU! Register now: forms.gle/47vUHzzz2aqJoP1S9
Dive into the fascinating world of machine learning and AI as we guide you through developing a model designed to predict NCAA tournament outcomes. From initial setup to final predictions, we’ll cover everything you need to create your own powerhouse model.
Embark on this machine learning adventure to not only enhance your NCAA bracket but also to deepen your understanding of predictive modeling. Let’s transform your bracket into a data-driven masterpiece together!
📘 Access the Notebook: www.kaggle.com/robikscube/machine-learning-bracket-gpu-powered
Timeline:
00:00 Intro
01:06 Setup and Import
02:39 Data Underst...
Dive into the fascinating world of machine learning and AI as we guide you through developing a model designed to predict NCAA tournament outcomes. From initial setup to final predictions, we’ll cover everything you need to create your own powerhouse model.
Embark on this machine learning adventure to not only enhance your NCAA bracket but also to deepen your understanding of predictive modeling. Let’s transform your bracket into a data-driven masterpiece together!
📘 Access the Notebook: www.kaggle.com/robikscube/machine-learning-bracket-gpu-powered
Timeline:
00:00 Intro
01:06 Setup and Import
02:39 Data Underst...
Просмотров: 13 351
Видео
Build Your First Pytorch Model In Minutes! [Tutorial + Code]
Просмотров 55 тыс.7 месяцев назад
Build Your First Pytorch Model In Minutes! [Tutorial Code]
Learning Pandas for Data Analysis? Start Here.
Просмотров 71 тыс.8 месяцев назад
Learning Pandas for Data Analysis? Start Here.
ASL Fingerspelling Demo - #kaggle Competition Solution
Просмотров 8 тыс.8 месяцев назад
ASL Fingerspelling Demo - #kaggle Competition Solution
100% Offline ChatGPT Alternative?
Просмотров 617 тыс.10 месяцев назад
100% Offline ChatGPT Alternative?
SQL Databases with Pandas and Python - A Complete Guide
Просмотров 100 тыс.10 месяцев назад
SQL Databases with Pandas and Python - A Complete Guide
Unbelievable Face Swapping with 5 Lines Code
Просмотров 64 тыс.11 месяцев назад
Unbelievable Face Swapping with 5 Lines Code
Pandas 2.0 : Everything You Need to Know
Просмотров 119 тыс.Год назад
Pandas 2.0 : Everything You Need to Know
The BEST library for building Data Pipelines...
Просмотров 67 тыс.Год назад
The BEST library for building Data Pipelines...
Open Source Face Analysis with Python
Просмотров 44 тыс.Год назад
Open Source Face Analysis with Python
Polars: The Next Big Python Data Science Library... written in RUST?
Просмотров 163 тыс.Год назад
Polars: The Next Big Python Data Science Library... written in RUST?
3 Simple Ways ChatGPT Can Make You a Better Coder
Просмотров 26 тыс.Год назад
3 Simple Ways ChatGPT Can Make You a Better Coder
ChatGPT can do what? Goodbye Stack Overflow...
Просмотров 7 тыс.Год назад
ChatGPT can do what? Goodbye Stack Overflow...
Run Stable Diffusion 2.0 Locally & Create AI Art
Просмотров 12 тыс.Год назад
Run Stable Diffusion 2.0 Locally & Create AI Art
Forecasting with the FB Prophet Model
Просмотров 67 тыс.Год назад
Forecasting with the FB Prophet Model
The Ultimate Coding Setup for Data Science
Просмотров 101 тыс.Год назад
The Ultimate Coding Setup for Data Science
Yolov7 Custom Object Detection in Python Tutorial - Chess Piece Detection
Просмотров 51 тыс.Год назад
Yolov7 Custom Object Detection in Python Tutorial - Chess Piece Detection
OpenAI Whisper Demo: Convert Speech to Text in Python
Просмотров 96 тыс.Год назад
OpenAI Whisper Demo: Convert Speech to Text in Python
25 Nooby Pandas Coding Mistakes You Should NEVER make.
Просмотров 255 тыс.Год назад
25 Nooby Pandas Coding Mistakes You Should NEVER make.
Kaggle Dataset Creation from Scratch- Data Science Uncut (Aug 10 2022)
Просмотров 7 тыс.Год назад
Kaggle Dataset Creation from Scratch- Data Science Uncut (Aug 10 2022)
Data Science Uncut - Data Shootout Kaggle Competition (Aug 1 2022 Stream)
Просмотров 28 тыс.Год назад
Data Science Uncut - Data Shootout Kaggle Competition (Aug 1 2022 Stream)
Time Series Forecasting with XGBoost - Advanced Methods
Просмотров 106 тыс.Год назад
Time Series Forecasting with XGBoost - Advanced Methods
Do these Pandas Alternatives actually work?
Просмотров 14 тыс.Год назад
Do these Pandas Alternatives actually work?
Solving an Impossible Riddle with Code
Просмотров 7 тыс.Год назад
Solving an Impossible Riddle with Code
Detect Text in Images with Python - pytesseract vs. easyocr vs keras_ocr
Просмотров 94 тыс.Год назад
Detect Text in Images with Python - pytesseract vs. easyocr vs keras_ocr
Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption
Просмотров 359 тыс.Год назад
Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption
@Rob Mulla: Excellent video on EDA
Dang it I missed another live 😢
Вот это сразу лайк. Контент интересный и полезный. Для моего исследования в самый раз
can I make this project using vs code?
PLEASE TELL ME THIS COMPETITION REQUIRES ALL TECHNICAL SKILLS?
Data viz competition...someone was at the tableau conference. ROB if you wanna know what that can look like, look up tableau's "Iron Viz" contest
You're the best rob !
Hi, dear sir hope you are great, waiting for a long time why there are not any videos coming,happy to see you again
DS livestream. What a world!
This was fun 🙏
How to extract select data values for example an invoice image into a template seeking selected values from that image
Excellent
When noobs tell noobs how to code:
Hi new here is the GPU giveaway is still on? or ended
Someone solved it! But you should still try.
Lucidly explained. One thing i have learned that in order to be a great Data scientist what matters is your problem solving skills, understanding the business requirements and curiosity to dive deep into data (true to the name data scientist) . There is no need in remembering these codes as long as you know what to look for.
very nice, btw how too download the swapped image to local computer? thank you
Thanks for this video, it was descriptive, well structured and well explained. I have two questions and I would appreciate if you can give your opinion and guidence on that. 1. At the end of the day star reviews and sentiment are giving the same results so how can we justify going through all this process when we already have a very good indication of user sentiment based on the star reviews. 2. How can we get the strength and weakness of the product based on the reviews using the sentiment analysis.
Javascript 😊 Java 😵
Lovely
Really loved seeing the pairplot. Will definitely try this out this week
Thanks!
OMG! I had to rest after first 10. So huge dose of information. Thanks.
I still wondering why do you use max - min for the first data set ?
great stuff!!
.title() he didn't mention it's use. But observing it seems that is the captilizing something
Great job😊
Did I miss April fools again lmao
great tutorial !!!
How do I save the new file
Awesome content, very helpful for Python learners!
If you get an error when typing "jupyter notebook," do the following: -make sure you run your powershell as administrator -make sure to add the python script folder to your PATH.
Thanks!
Oh noooo, i already upload my code using those double noob method😂
I’m a bit late watching this which is fine because I didn’t win. Great job creating so much suspense my alias stayed there for a long time. But I also shared my alias with someone else it seems so that could have been interesting.
i will agree with the rest on the comments, you aced it Rob thanks - keep it up )
We need more COMTEMT 😭
thanks. stuff a newb ie me would not think about
It's hallarios Jason haha
This is awesome. Thanks! I've spent hours on Brig 1 and I've made some progress but can't quite crack it. Thank goodness crucible doesn't rate limit! :)
Glad you're enjoying it!
Thanks for this video. Packed with info, but still easy to follow, no small talk… Really appreciate your effort!
Hello Hello, any body there???
I’m here. What’s up?
So I guess there is no reason to use a pickle file unless you want to see the look on your colleagues faces when you give them a pickle. 🥒
The first code cell in the second Crucible challenge is wrong on the site. It seems the endpoint accepts {"hunger": <value>} not {"data": {"hunger": <value>}}.
Well that is a built in function that can do that... but it is VERY slow in big lists, and can dramatically slow a program down with no clear sign of what is slowing things down
I'm on this thing...is this thing on? Hey this is the worst video game ever...
wut?
Which notebook are you using?
First one to comment So GPU is mine :) good see you after long time Rob
really neat overview thank you
This was a well-designed video, straight to the point. Thanks. BTW, some of the keyboard shortcuts will be familiar to users of vim.
big headstart in a project