3. H20 Wave →
http://
wave.h2o.ai H2O Wave is an open-source Python development framework that makes it fast and easy to develop demos. No HTML, Javascript, or CSS knowledge is required. Just with Python
@sumanth_077
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H2O Wave: Python Framework for Building Demos Without Web Technologies
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Gradio: Fast Web Interface for ML Models Demo
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2. Gradio → http://
gradio.app An alternative tool for making web apps for data science and machine learning. This is also a fastest way to demo your machine learning model with a friendly web interface. -
Streamlit: Open-source Python library for ML web apps
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1. Streamlit → https://t.co/Qq4k2f72Ae
— Sumanth (@Sumanth_077) 19 février 2023
An open-source Python library that makes it easy to create and share web apps for machine learning and data science.
Just a few lines of code allows you to make beautiful demos of data scripts and ML models that you can share. pic.twitter.com/UBepd28ijI1. Streamlit → http://
streamlit.io An open-source Python library that makes it easy to create and share web apps for machine learning and data science. Just a few lines of code allows you to make beautiful demos of data scripts and ML models that you can share. -
3 Easiest Ways to Showcase Your Machine Learning Model
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In Machine Learning after you train a model, the BEST way to showcase is it to make a demo for others to try it. Here are 3 of the easiest ways to make a demo of your machine-learning model:
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Difficulty keeping up with latest AI tools
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It's really hard to keep up with all the latest AI tools. Great work Akshay
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Follow for Python, Data Science, and Machine Learning Content
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If you find this useful: 1. Retweet and follow me @Sumanth_077 for more content on Python, Data Science, and Machine Learning 2. I go deeper into these topics, also interview data professionals on my YT Channel. Join 1.6k+ others and subscribe below! https://
youtube.com/channel/UCGtqG
YDxlzfgOnugpOcGxkA
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MIT’s Introduction to Deep Learning: Complete Overview
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5. MIT's Introduction to Deep Learning This Course will give you a complete idea of Deep Learning, Computer vision and Natural Language Processing
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Linear Algebra Fundamentals for Machine Learning Overview
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4. Linear Algebra Get an overview of the important and basic concepts of Linear Algebra required for Machine Learning https://
ocw.mit.edu/courses/res-18
-010-a-2020-vision-of-linear-algebra-spring-2020/
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Statistics for Applications: Essential Concepts for Data Science
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3. Statistics for Applications Statistics plays a crucial role in Data Science. Learn the important stats concepts and their practical use cases. https://
ocw.mit.edu/courses/18-650
-statistics-for-applications-fall-2016
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Introduction to Data Science and Machine Learning Fundamentals
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2. Introduction To Data Science You'll learn about all the fundamental concepts of Data Science and Machine Learning. https://
ocw.mit.edu/courses/6-0002
-introduction-to-computational-thinking-and-data-science-fall-2016/
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