How to add math equations to your @streamlit apps

Perhaps you wanted to describe that new algorithm that you have developed for your #machinelearning project.
You can describe them using the st.latex() method.

Code and demo inside 🧵
@streamlit 2/ Code

Here's how you can use st.latex() to write #math equations to describe your new #machinelearning algorithms inside a @streamlit app
3/ Demo

See the demo @streamlit app of st.latex() in action

👉 share.streamlit.io/dataprofessor/…
4/ More info

📖 Read the API docs about st.latex() docs.streamlit.io/library/api-re…

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More from @thedataprof

Jan 22
Resources for getting started in #DataScience

Where to start? What to read? What to learn? I got you covered.

🧵 See thread below 👇
2/ Roadmap to #datascience

Here's my 4 step process on becoming a data scientist
1. Plan
2. Learn
3. Build
4. Explain

👉 Video
👉 Blog towardsdatascience.com/the-art-of-lea…
3/ Create your own #datascience learning curriculum

Everyone's interest or needs are different. Therefore the destiny of everyone's learning journey is also different.

Create your own curriculum. Here's how:

👉 Video
👉 Blog towardsdatascience.com/how-to-create-…
Read 9 tweets
Dec 29, 2021
1/ Book overview and review
Practical Data Science with Python (By Nathan George)
🧵 See thread below
#datascience #python
2/ 👤 Author
- Nathan George
- Data scientist at a fintech company
- Taught at Regis University, DataCamp and Manning LiveProject
- Mentor students at Udacity AI and Machine Learning NanoDegree
3/ 📚 Book details
- About 600 pages
- 21 Chapters
- 6 Parts
Read 14 tweets
Oct 16, 2021
How to get started in #datascience

👀🧵👇 See thread below
1. Data Science Starter Kit
This starter kit provides a framework that will help pinpoint you in the right direction and help you take your first steps
towardsdatascience.com/data-science-s…
2. How to Master Python for Data Science
This article will have navigate you through the landscape of the Python language at their intersection with data science, which will help you get started in no time.
towardsdatascience.com/how-to-master-…
Read 13 tweets
Oct 11, 2021
Getting started on the Open #Bioinformatics Research Project initiative
👀🧵👇 See thread below
1. Watch the introductory video on the Open Bioinformatics Research Project initiative for:
- Intro to the initiative
- High-level overview of the dataset
- Ideas for which types of analysis to perform
2. Accessing the dataset
👉 GitHub github.com/dataprofessor/…
👉 Kaggle kaggle.com/thedataprof/be…
Read 8 tweets
Sep 15, 2021
How to get started in #datascience?

👀🧵👇 See thread below
2/ 1. Craft your own personal learning plan
Earlier this year I made a video that details the steps you can take to craft your own personal learning plan for your data journey. Everyone's plan is different, make your own! Here's how...
3/ 2. Work on data projects using datasets that is interesting to you
When starting out, I found that working on datasets that's interesting to you will help you engage in the process. Be persistent and work on the project to completion (end-to-end).
How? Data→Model→ Deployment
Read 10 tweets
Aug 31, 2021
Here’s a cartoon illustration I’ve drawn a while back:
The #machinelearning learning curve

👀🧵👇 See thread below
2/ Starting the learning journey
The hardest part of learning data science is taking that first step to actually start the journey.
3/ Consistency and Accountability
After taking that first step, it may be challenging to maintain the consistency needed to push through with the learning process. And that’s where accountability steps in.
Read 9 tweets

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