Create your own differentiated homepage with a Github blog!
A blog of your own that everyone dreams of! Not just another common blog you see everywhere, but a differentiated blog that you create and manage yourself! Try it now with a Github blog!
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Hello! Inflearn students! 💖
A new course titled 'Creating Python Web Apps Using Streamlit' has opened!
Streamlit is a tool that lets you quickly prototype web apps using data.
It has recently gained much popularity as a tool for data analysis and machine learning.
Not long ago, Snowflake, a data cloud company that became famous after Warren Buffett invested in it, made headlines by acquiring Streamlit. Streamlit is also widely used by industry leaders such as Uber and Google X.
Streamlit is that hot and has a bright outlook!This lecture, <Creating a Python Web App Using Streamlit>, will provide an opportunity to learn and become familiar with Streamlit easily and quickly through an actual project using Streamlit.
Take this opportunity to quickly and easily build and share your own data analysis app using Streamlit !
Go to lecture 👉 https://inf.run/oq4A
Hello, Inflearn students! This is Inflearn knowledge sharer Runaday.
After a long time, I greet you with news of a new lecture.🙏
The newly opened lecture , <Create your own differentiated homepage with Github blog!> contains the know-how of Lee Gyeong-rok, who directly created and operates the data analysis blog 'Teddy Note' .
Teddy Note (GitHub Blog), a data analysis blog based on GitHub called 'Try Machine Learning Alone', which received many stars, is currently visited by about 270,000 people annually.
'Github blog', where Lee Kyung-rok's worries and efforts were built into a portfolio
I hope that this lecture will be of practical help to many people who are thinking about and working hard for the future.
Go to lecture : https://inf.run/Pey4
Announcement of follow-up lecture opening schedule
<Create your own differentiated homepage with Github blog!> Following the lecture, follow-up lectures are being prepared one after another. We ask for your interest and anticipation for the follow-up lectures that will be opened soon.🙏
1. Create a Python web app using Streamlit (Completed, scheduled to open within 2 weeks)
2. Machine Learning (scikit-learn) & Kaggle Introductory Course (Completed on March 20th, Scheduled to open: within 2 weeks from the completion date)
3. PyTorch Deep Learning Introductory Course (Completed on April 10th, Scheduled to open: within 2 weeks from the completion date)
