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Data Professor
Таиланд
Добавлен 17 авг 2019
Data Science, Machine Learning, Bioinformatics, Research and Teaching are my passion. The Data Professor RUclips channel is an extension of my passion in helping students and data enthusiast learn about Data Science and how it can be used to make sense of data. This channel provides Data Science contents consisting of explainer videos and practical tutorials.
Chanin Nantasenamat, Ph.D. was an Associate Professor of Bioinformatics at a Research University where he led a research laboratory that harnesses data science for unraveling the hidden knowledge of big data in medicine. Chanin has more than 15 years of experience in data science (as applied to bioinformatics) and has published more than 160 research articles, review articles and book chapters.
If you are fascinated about data science, it would mean the world to me if you would consider subscribing to this channel (by clicking the link below):
bit.ly/dataprofessor
รศ.ดร.ชนินทร์ นันทเสนามาตร์
Chanin Nantasenamat, Ph.D. was an Associate Professor of Bioinformatics at a Research University where he led a research laboratory that harnesses data science for unraveling the hidden knowledge of big data in medicine. Chanin has more than 15 years of experience in data science (as applied to bioinformatics) and has published more than 160 research articles, review articles and book chapters.
If you are fascinated about data science, it would mean the world to me if you would consider subscribing to this channel (by clicking the link below):
bit.ly/dataprofessor
รศ.ดร.ชนินทร์ นันทเสนามาตร์
From Social Sciences to Tech (Ft. Data Engineer Sergio)
From social sciences to coding, Sergio shares his journey into the tech world! After college, he dove into a Python for Data Science EDX course and his passion for tech grew from there.
🔗 Connect with Sergio x.com/ChekosWH
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🔗 Connect with Sergio x.com/ChekosWH
Support my work:
👪 Join as Channel Member:
ruclips.net/channel/UCV8e2g4IWQqK71bbzGDEI4Qjoin
✉️ Newsletter newsletter.dataprofessor.org
📖 Join Medium to Read my Blogs data-professor.medium.com/membership
☕ Buy me a coffee www.buymeacoffee.com/dataprofessor
Recommended Resources
📚 Books kit.co/dataprofessor
😎 Taro (Tech Career Mentorship) www.jointaro.com/r/dataprofessor/
📜 Google Data Analytics Professional Certificate click.linksynergy.com/deeplink?id=PNeWWakF7rI&mid=40328&murl=ht...
Просмотров: 574
Видео
How to use Llama2 locally
Просмотров 7 тыс.6 месяцев назад
In this video, you'll learn how to use Llama2 locally on your own computer (also in a Colab notebook!). 🐙 Code github.com/dataprofessor/llama2 Note: Look for Llama2.ipynb and llama2-local.py Support my work: 👪 Join as Channel Member: ruclips.net/channel/UCV8e2g4IWQqK71bbzGDEI4Qjoin ✉️ Newsletter newsletter.dataprofessor.org Join Medium to Read my Blogs data-professor.medium.com/membership ☕ Bu...
A glimpse into the future of LLMs with State of LLM Apps 2023
Просмотров 2 тыс.6 месяцев назад
Streamlit had just released the State of LLM Apps 2023 and in this video we'll take a brief behind the scene look on the creation of the app. 🕹️ Try the State of LLM Apps state-of-llm.streamlit.app/ Learn more insights and get started on your LLM app building journey by attending BUILD, a free virtual conference Dec 5-6, 2023. Join 35k developers to explore apps, data pipelines, and ML workflow...
How to Get Ahead of 99% of Data Scientists with Streamlit (Tips from Tyler Richards)
Просмотров 4,5 тыс.8 месяцев назад
In this video, I had the chance to chat with Tyler Richards for the second time and we talked about working in Tech, how to stand out in a highly competitive job market and much more. In brief, Tyler shares how to leverage interactive data apps (@streamlitofficial) to build strong portfolio projects. Tyler is a Senior Data Scientist at Snowflake Inc. working on the Streamlit Open Source team. C...
Streamlit LLM Hackathon
Просмотров 6 тыс.9 месяцев назад
If large language models and generative AI sounds interesting to you, then this video is for you! Briefly, I'll give you a quick overview of the Streamlit LLM Hackathon. In a nutshell, you'll build an LLM app using one or more of the following LLM technology from these partners: - LangChain - AssemblyAI - Weaviate - LlamaIndex - Clarifai 👉 Go to the LLM Hackathon streamlit.io/community/llm-hack...
How to Use the Open-Source Hugging Chat API in Python
Просмотров 9 тыс.10 месяцев назад
How to Use the Open-Source Hugging Chat API in Python
How to use GitHub Codespaces for Coding and Data Science
Просмотров 24 тыс.10 месяцев назад
How to use GitHub Codespaces for Coding and Data Science
Introducing the Mito Streamlit component
Просмотров 2,4 тыс.10 месяцев назад
Introducing the Mito Streamlit component
How to use the Llama 2 LLM in Python
Просмотров 109 тыс.11 месяцев назад
How to use the Llama 2 LLM in Python
How to unleash the power of ChatGPT on your Pandas Dataframes with Mito AI
Просмотров 4,3 тыс.Год назад
How to unleash the power of ChatGPT on your Pandas Dataframes with Mito AI
Data Science Podcast with Jess Haberman from Anaconda
Просмотров 5 тыс.Год назад
Data Science Podcast with Jess Haberman from Anaconda
Streamlit Hackathon - Ready, Set, Build!
Просмотров 3 тыс.Год назад
Streamlit Hackathon - Ready, Set, Build!
Building a web app in Python for analyzing YouTube channels
Просмотров 11 тыс.Год назад
Building a web app in Python for analyzing RUclips channels
How to use ChatGPT to Generate Code in 90 seconds
Просмотров 13 тыс.Год назад
How to use ChatGPT to Generate Code in 90 seconds
How to get started with ChatGPT for Beginners
Просмотров 15 тыс.Год назад
How to get started with ChatGPT for Beginners
Build machine learning models in Google Sheets
Просмотров 16 тыс.Год назад
Build machine learning models in Google Sheets
How to Built an App for Converting Video to Animated Images in Python (Full code inside)
Просмотров 6 тыс.Год назад
How to Built an App for Converting Video to Animated Images in Python (Full code inside)
Welcome to the Data Professor YouTube channel
Просмотров 21 тыс.Год назад
Welcome to the Data Professor RUclips channel
How to build a protein structure prediction app in Python using ESMFold and Streamlit
Просмотров 17 тыс.Год назад
How to build a protein structure prediction app in Python using ESMFold and Streamlit
Streamlit at tech conference Build 22
Просмотров 2,5 тыс.Год назад
Streamlit at tech conference Build 22
How to quickly prototype your Streamlit web app
Просмотров 4,5 тыс.Год назад
How to quickly prototype your Streamlit web app
How I would learn to code (If I had to start over)
Просмотров 6 тыс.Год назад
How I would learn to code (If I had to start over)
Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial
Просмотров 14 тыс.Год назад
Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial
Building a Dashboard web app in Python - Full Streamlit Tutorial
Просмотров 89 тыс.Год назад
Building a Dashboard web app in Python - Full Streamlit Tutorial
Advice on breaking into Tech from a FAANG Developer (@CodewithVincent)
Просмотров 1 тыс.Год назад
Advice on breaking into Tech from a FAANG Developer (@CodewithVincent)
Introduction to Computational Drug Discovery
Просмотров 10 тыс.Год назад
Introduction to Computational Drug Discovery
How would you suggest doing It with a large dataset?
Fit problem with solution y not defined
can anyone help me with making the presentation on this
it is not free ;c
Thank you
🐍
Can one web scrape auction sites like eBay, Heritage auctions etc? I'm interested in pulling historical sales prices for trend analysis.
I started with you
Could you pls help with sample json file to load...its urgent pls
It’s easier if you convert json to csv then use that to prepare the Weka input file
@DataProfessor thanks for response. Yes, I am going to use csv only
How are you able to obtain features of importance from the stacked model
Proxy
tool rogue
Thank you so much! I was able to come up 17 places in this ML competition because of this. Short and to the point. <3
Please where is the google colab link
🐍
I am getting scientific notation when writting dataframe to excel with large floats like 10000000000000.12 Is any way to show the entire number without scientific notation using styler?
🐍
So if Im not mistaken, this is a locally run app. How would you run this on say - AWS or HuggingFace Spaces?
Thank you for your GOOD video. It's really helpful. 🙏🙏🙏
Thanks krub for the kind words 😊
Yeah, get some help 👍👍
Any reviews from those who have taken this. FWIW, it is up to $1481. If it is quality that is still a great deal. I was looking at eCornell. Was NOT impressed with their program. Their already pricey programs have gone up a LOT in the last couple of months.
Wow! Thank you for a simple, clear explanation 👏👏
how to color each card border with different colors?
That can be done by finding the CSS selector, then defining the border color to the desired color.
Excellent video. It made me understand in an easy way what ML is all about. Thank you I would like to know if you have a similar video for a ML classification video ?🪱
the package '"sf" cannot be installed. Do you know another way to deploy a shinny app with this limitation?.
Amazing man!
@misraturp did you mean Justin Guitar ?
First of all, thank you so much professor Chenan for this series of QSAR modelling, I have applied it to my uni Machine learning project and I hope I have done well. Unfortunately, I just have a problem with streamlit, it either takes so much time predicting and never displays an output, or it just diplays an error in my command prompt saying the model is has no object RandomForestRegressor, although I am sure it is Random forest.. I hope you can help. Welcoming any help if anyone knows what to do.
I'm facing security alert email when make a login . Please guide me to fix this.
Thank you for your video, I was able to develop this : ruclips.net/video/nE32zBiRA6g/видео.html
I am getting error while trying to import chem while running Colab. Below given is the error ImportError Traceback (most recent call last) <ipython-input-44-c58f94b1d709> in <cell line: 2>() 1 import numpy as np ----> 2 from rdkit import Chem 3 from rdkit.Chem import Descriptors, Lipinski /usr/local/lib/python3.7/site-packages/rdkit/__init__.py in <module> 1 try: ----> 2 from .rdBase import rdkitVersion as __version__ 3 except ImportError: 4 __version__ = 'Unknown' 5 raise ImportError: /usr/local/lib/python3.7/site-packages/rdkit/../../../libboost_python37.so.1.67.0: undefined symbol: _Py_fopen
same here!! did you troubleshooted ?
@@Sathishkumars-lh1fq I uploaded the notebook in vscode. There it is working fine. I think it's some issue with colab.
I don't like your voice 😾😡
Chile❤
I would really appreciate it if you explained your lines of code and how they work. Otherwise, I am not learning why I'm typing what I'm typing, or why it's necessary, etc. I just watched another series by a different guy who thoroughly explained every line of code he wrote in R and I walked away with a much better understanding of why each line of code is being typed or why certain arguments were used.
Thanks for the feedback 😊
I wanna reach such level !!!! Thank you for this great interview :D
Is it possible to disable the header/navbar on the first page only (index_profile)? Thank you!
where to save .py file ?
can you please send me the link to the prediction model on molecular solubility that you mentioned in this video, you have not given the link to the description or in the pin comment.
good one !
🐍
Hi can you please make a video on fine tuning of Protein Large language models and getting sequence embeddings. Thank you for making all these videos, they are really helpful
how can we do for multiple targets
a snake emoji
Thank you so much for this tutorial. Great to follow and to get an idea of how to actually build a model
Prof. Pls are we able to get the slide for this video? Thank you
How is cheminformatic under Erusmus mundas pls reply
🐍🐍
🐍 project
Hello sir, thank you so much for the tutorial. After building the model how can we predict the biological value of the unknown??
Hi, you can create a "test set" that would contain the X variables (without the Y variable). You can then apply the trained model on this test set.
I agree, I follows the same method.