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Data Professor
Thailand
Приєднався 17 сер 2019
Data Science, Machine Learning, Bioinformatics, Research and Teaching are my passion. The Data Professor UA-cam 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
How to use Llama2 locally
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
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#datascience #machinelearning #dataprofessor
🐙 Code github.com/dataprofessor/llama2
Note: Look for Llama2.ipynb and llama2-local.py
******************
Support my work:
👪 Join as Channel Member:
ua-cam.com/channels/V8e2g4IWQqK71bbzGDEI4Q.htmljoin
✉️ 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=https%3A%2F%2Fwww.coursera.org%2Fprofessional-certificates%2Fgoogle-data-analytics
🤔 Interview Query www.interviewquery.com/?ref=dataprofessor
🖥️ Stock photos, graphics and videos used on this channel 1.envato.market/c/2346717/628379/4662
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🌟 Data Professor ua-cam.com/users/dataprofessor
Disclaimer:
Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents.
#datascience #machinelearning #dataprofessor
Переглядів: 6 788
Відео
A glimpse into the future of LLMs with State of LLM Apps 2023
Переглядів 2 тис.6 місяців тому
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)
Переглядів 4,4 тис.7 місяців тому
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
Переглядів 6 тис.9 місяців тому
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
Переглядів 9 тис.9 місяців тому
In this video, you'll learn how to use the unofficial port of the open-source Hugging Chat API in Python (namely HugChat). Currently the LLM model provided on Hugging Chat includes: meta-llama/Llama-2-70b-chat-hf and OpenAssistant/oasst-sft-6-llama-30b. 🐙 Code github.com/dataprofessor/hugchat 🤗 Hugging Chat huggingface.co/chat/ 🐍 HugChat Python library pypi.org/project/hugchat/ Blog - How to b...
How to use GitHub Codespaces for Coding and Data Science
Переглядів 23 тис.9 місяців тому
In this video, you'll learn how to use GitHub Codespaces for Coding and Data Science. We'll start from scratch by installing prerequisite libraries (scikit-learn and streamlit). Next, you'll build a simple machine learning model, create a plot as well as code a @streamlitofficial app, all right on @GitHub Codespaces. Features of GitHub Codespaces github.com/features/codespaces Support my work: ...
Introducing the Mito Streamlit component
Переглядів 2,4 тис.10 місяців тому
In this video, Jake (co-founder of Mito, a Y Combinator backed startup company) gives us a quick overview and a short demo showing the new Mito Streamlit component in action. 👉 Watch this next - Podcast with Mito founders - ua-cam.com/video/kzB9QLYdnC0/v-deo.html Read this next - Blog on Mito as a powerful spreadsheet in Streamlit - blog.streamlit.io/data-analysis-with-mito-a-powerful-spreadsh...
How to use the Llama 2 LLM in Python
Переглядів 107 тис.10 місяців тому
In this video, you'll learn how to use the Llama 2 in Python. Llama 2 is an open source large language model created by Meta AI . The LLM model used in this tutorial is hosted on the Replicate platform. ⭐️ Watch this video on how to build a Llama 2 chatbot app using @streamlitofficial ua-cam.com/video/J8TgKxomS2g/v-deo.html 📒 Jupyter notebook github.com/dataprofessor/llama2 🛠️ Tutorial blog on ...
How to unleash the power of ChatGPT on your Pandas Dataframes with Mito AI
Переглядів 4,3 тис.Рік тому
How to unleash the power of ChatGPT on your Pandas Dataframes with Mito AI
Data Science Podcast with Jess Haberman from Anaconda
Переглядів 5 тис.Рік тому
Data Science Podcast with Jess Haberman from Anaconda
Streamlit Hackathon - Ready, Set, Build!
Переглядів 2,9 тис.Рік тому
Streamlit Hackathon - Ready, Set, Build!
Building a web app in Python for analyzing YouTube channels
Переглядів 11 тис.Рік тому
Building a web app in Python for analyzing UA-cam channels
How to use ChatGPT to Generate Code in 90 seconds
Переглядів 13 тис.Рік тому
How to use ChatGPT to Generate Code in 90 seconds
How to get started with ChatGPT for Beginners
Переглядів 15 тис.Рік тому
How to get started with ChatGPT for Beginners
Build machine learning models in Google Sheets
Переглядів 16 тис.Рік тому
Build machine learning models in Google Sheets
How to Built an App for Converting Video to Animated Images in Python (Full code inside)
Переглядів 6 тис.Рік тому
How to Built an App for Converting Video to Animated Images in Python (Full code inside)
Welcome to the Data Professor YouTube channel
Переглядів 21 тис.Рік тому
Welcome to the Data Professor UA-cam channel
How to build a protein structure prediction app in Python using ESMFold and Streamlit
Переглядів 17 тис.Рік тому
How to build a protein structure prediction app in Python using ESMFold and Streamlit
Streamlit at tech conference Build 22
Переглядів 2,5 тис.Рік тому
Streamlit at tech conference Build 22
How to quickly prototype your Streamlit web app
Переглядів 4,4 тис.Рік тому
How to quickly prototype your Streamlit web app
How I would learn to code (If I had to start over)
Переглядів 6 тис.Рік тому
How I would learn to code (If I had to start over)
Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial
Переглядів 14 тис.Рік тому
Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial
Building a Dashboard web app in Python - Full Streamlit Tutorial
Переглядів 88 тис.Рік тому
Building a Dashboard web app in Python - Full Streamlit Tutorial
Advice on breaking into Tech from a FAANG Developer (@CodewithVincent)
Переглядів 1 тис.Рік тому
Advice on breaking into Tech from a FAANG Developer (@CodewithVincent)
Introduction to Computational Drug Discovery
Переглядів 10 тис.Рік тому
Introduction to Computational Drug Discovery
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 : ua-cam.com/video/nE32zBiRA6g/v-deo.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
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.
Data Professor, This is great! Let's be friends and have fun together!
Actually a great video sir, now we have trained the model right?, now if i want to use this model so i just need to copy paste the name of this jupyter file right??
I am getting an error message as no file or directory as style.css even though I have saved the file in app.py, any clue what I might be doing wrong?
Can all 3 options (Use training set, cross-validation & percentage split) available here be used to train the model? Isn't cross-validation an evaluation method? Can you explain these 3 options separately? and will you tell me how to save the trained model, please?
This is the best machine learning tutorial that i've ever come across !❤ Simple, Clean and Informative ! Thank you sir ! 🙏
Thanks so much for the kind words :)
i would like to know how to install Mito for windows if thats possible
I just now stumbled upon this tutorial, and was able to replace buttons in my Streamlit app with custom css stuff that uses animations! This was incredibly helpful in unlocking a new level of Streamlit customization. Thanks!
You're a very good teacher. Taught a complex topic so simply
Thanks for the kind words 😊
How to run these course can you help form where i have to run them
Hello Sir, this guide was awesome. I am finding it hard to scrape data for different companies stating their Name | Street Address | contact Info | Email Address | data in that format. Kindly advice.
nice presentation
The first ever ML code that I ran successfully. AlhamduLlillah
Best explanation, I have ever seen ! @ Data Professor
Thanks for the kind words!
🐍
Thanks a lot! Great tutorial, I love how you explain every step of it so it is easy to understand what you are doing.
🐍🐍
How to hide the code. I want to package a streamlit app and give to client.