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Ploomber
เข้าร่วมเมื่อ 24 ต.ค. 2021
Develop Streamlit apps with and AI
Learn to use Ploomber AI Editor to quickly develop Streamlit apps. Use the AI code generation to create a base app and iterate at the speed of thought! editor.ploomber.io/
มุมมอง: 25
วีดีโอ
Develop Shiny apps with bslib and AI
มุมมอง 1022 ชั่วโมงที่ผ่านมา
Learn to use Ploomber AI Editor to quickly develop Shiny apps with bslib. Use the AI code generation to create a base app and iterate at the speed of thought! editor.ploomber.io/
Deploying LLM/AI app series: RAG API from customer order data
มุมมอง 47110 หลายเดือนก่อน
In this video we walk you through how to build and deploy an API for a RAG application rooted on tabular data containing order information.
JupySQL integration with JupyterLab
มุมมอง 12011 หลายเดือนก่อน
jupysql.ploomber.io/en/latest/jupyterlab/syntax-highlighting.html
Tutorial: Access Amazon Redshift, set up tables from S3 and perform classification on bike trips
มุมมอง 326ปีที่แล้ว
In this tutorial, you will learn how to access an Amazon Redshift instance from Jupyter notebooks. You will then learn how to iteratively create tables from an S3 bucket and confirm they are correct via JupySQL's table explorer and table profiling functions. By the end of this tutorial, you will seamlessly transform your SQL query results into pandas dataframe format to setup a supervised learn...
JupySQL 0 9 0 release: configure your SQL project in Jupyter
มุมมอง 325ปีที่แล้ว
Learn how to configure your SQL project in Jupyter with a new addition: pyproject.toml files to specify default behaviour when performing queries. In this video we focus on automatically transforming the output of a query in polars dataframe format. Learn more jupysql.ploomber.io/en/latest/api/configuration.html#loading-configuration-from-a-pyproject-toml-file
Set up exploratory data analysis with PostgreSQL and Jupyter in less than 7 minutes.
มุมมอง 512ปีที่แล้ว
JupySQL is an open source project whose goal is to enable you to run SQL and plot large datasets in Jupyter via a `%sql`, `%%sql`, and `%sqlplot` magics. It is compatible with all major databases (e.g., PostgreSQL, MySQL, SQL Server), data warehouses (e.g., Snowflake, BigQuery, Redshift), and embedded engines (SQLite, and DuckDB). It is a fork of `ipython-sql` with many bug fixes and a lot of g...
Best Practices for Maintainable Data Science Projects
มุมมอง 2732 ปีที่แล้ว
In this video, Antonio, a Ploomber community member, will share a checklist of best practices to develop better Data Science projects. Blog post available here: ploomber.io/blog/checklist Questions? Join our growing community of Data Scientists: ploomber.io/community
Myths and Problems of Jupyter Notebooks
มุมมอง 2072 ปีที่แล้ว
In this video, Antonio, a Ploomber community member, will discuss some of the myths around Jupyter notebooks and share a few tricks for using them more effectively. Blog post available here: ploomber.io/blog/nbs-myths Questions? Join our growing community of Data Scientists: ploomber.io/community
Ploomber Convert
มุมมอง 802 ปีที่แล้ว
Convert Jupyter notebooks to PDF, no setup required: convert.ploomber.io Join our Data Science community: ploomber.io/community
Developing Custom Scikit-learn Transformers and Estimators
มุมมอง 8772 ปีที่แล้ว
In this video, Antonio, a Ploomber community member, will show us how to integrate our custom models with scikit-learn. Blog post available here: ploomber.io/blog/sklearn-custom/ Questions? Join our growing community of Machine Learners: ploomber.io/community
A Gentle Introduction to Nested Cross-Validation
มุมมอง 3.9K2 ปีที่แล้ว
In this video, Antonio, a Ploomber community member, will walk us through the nested cross-validation technique, which allows us to select many candidate Machine Learning models and choose the best one for deployment. Blog post available here: ploomber.io/blog/nested-cv/ Questions? Join our growing community of Machine Learners: ploomber.io/community
Ploomber: Automated Notebook Refactoring
มุมมอง 562 ปีที่แล้ว
Ploomber: Automated Notebook Refactoring
Interactive Exploratory Data Analysis Sample
มุมมอง 1103 ปีที่แล้ว
Interactive Exploratory Data Analysis Sample
Soorgeon - Generate Maintainable Pipelines From Legacy Notebooks
มุมมอง 2K3 ปีที่แล้ว
Soorgeon - Generate Maintainable Pipelines From Legacy Notebooks
thank you so much
This video + the ploomber article are the best resources I found on the topic. They are both complementary ! Thank you.
Good project. Unfortunately many bugs. Can't use with Clickhouse and even problems with csv
github link
In the slide at 6:37, the best hyperparameter ("n_estimators=5") was chosen for the third iteration (third fold). But what happens if the hyperparameters on the first and second folds are different? I understand that we can evaluate the overall performance using different hyperparameters in the other folds of the outer loop. But, at the end of the day, which hyperparameter we choose to produce a final deployment model?
Thank you for this video, i learned so much, you are amazing teacher
How to use - - presist with multiple files?
Thanks!!
Loved the video clear and point to point explanation
👍🏾👍🏾
Thank you for making a video on this! Very valuable! It took me some time to find out there exists a lot of research on proper simultaneous error estimation (model selection) and hyperparameter tuning!
great work!
Thanks! Join our community to learn more! ploomber.io/community
The slide at 4:00 could be wrong. It should be "Traning set, Training set, Test set" for the first iteration and "Traning set, Test set, Traning set" for the second iteration. Also, the slide at 7:22 could be incorrect for the nested cv.
yeah, confused the f out of me
This is the best video I’ve seen on developing custom transformers and estimators. I especially appreciate the demonstration of check_estimator. Thank you!
Cool insights here!
What do you think of the video format? Any feedback for us?
@@ploomber I think the format is well done. Well organized slides and reproducible code snippets. Will get back when I have additional remarks or concerns. Cheers!
@@wyclifeoluoch9376 Awesome! Please join our community to keep in touch! ploomber.io/community
awesome!
Join our community to learn more :) ploomber.io/community