https://twitter.com/ploomber/status/1623774066686435333 The .ipynb format is capable of storing tables and charts in a standalone file. This makes it a great choice for #model evaluation reports. Execute a #NotebookCollection and retrieve results from previously executed notebooks to compare them: 👉 https://t.co/dOiUrS6RVA https://t.co/wwl74geVJE Twitter

https://twitter.com/ploomber/status/1624045753684426752 Generate your calibration curves with only a few steps! 🤌 With #sklearn_evaluation you can generate calibration curves easily, which helps you determine whether you can interpret predicted probabilities as confidence levels. Plot yours: 👉 https://t.co/HuYfS7Hi3w #DataScience https://t.co/0xJMqz2ss3 Twitter

https://twitter.com/ploomber/status/1624136251090604048 Don't get your neck broken! 🤕 This is the easiest way to use #SQL in #Jupyter: 👉 https://buff.ly/3Hvm7dK Twitter

https://twitter.com/ploomber/status/1624498716550787072 We're featured in @scikit_learn documentation! Check us out, along with other great projects! https://t.co/JjgVmZdBlY https://t.co/kkwTXOwSMT Twitter

https://twitter.com/ploomber/status/1624860898006384640 Did you know that you can run #notebooks in parallel? 🤖 Running notebooks in parallel is important to execute different #experiments at the same time. In this post, run some notebooks in parallel and compare the execution time of different tools: 👉 https://t.co/dMlUuzuktr https://t.co/bGXP8aPoKC Twitter

https://twitter.com/ploomber/status/1625133137733746689 Working on a clustering problem? 📊 We added some new plots to sklearn-evaluation: PCA, elbow_curve, and silhouette_analysis; they will help you improve your model! 🚀 Documentation: https://t.co/3Gw4yUhunA Interactive demo: https://t.co/iscYsuhBZt https://t.co/PCsOP4NBjs Twitter

https://twitter.com/ploomber/status/1625223300912652301 New in JupySQL: list tables and columns! List tables: %sqlcmd tables List columns in a table: %sqlcmd columns --table mytable Check out the tutorial: https://t.co/XAHXGI4j13 https://t.co/72yabZetme Twitter

https://twitter.com/ploomber/status/1625495434188963845 #GridSearch is a common practice in #MachineLearning. When evaluating hyperparameters, you can use #sklearn_evaluation to plot them easily. Learn to evaluate a grid search: 👉 https://t.co/DxNjJWyZYZ #DataScience #OpenSource #Ploomber https://t.co/vAcTMZU3C0 Twitter

https://twitter.com/ploomber/status/1625585713335918624 Check out this great new tool! 🔧 This #monitor is a #JupyterLab extension to display system information (memory and CPU usage). It provides an alternative frontend for the jupyter-resource-usage metrics. Try it out: 👉 https://t.co/gvcb9tu5ar #OpenSource #Ploomber https://t.co/oiSaHMGfls Twitter

https://twitter.com/ploomber/status/1625857467405189121 Can I trust my model’s probabilities? 🤔 Probability calibration allows us to ensure that higher scores from our model are more likely to belong to a positive class. Don't miss our post, a deep dive into into probability calibration: 👉 https://t.co/yUdqfBZLD9 #MachineLearning https://t.co/R03SCn992j Twitter

https://twitter.com/ploomber/status/1625948229949874178 "Omelette du fromage" = #sklearn_evaluation is the best way to evaluate your #MachineLearning models (It doesn't mean that, actually. But you definitely need to try it out!) Get started: 👉 https://t.co/HOBuYgTOEY https://t.co/5lMytLK13U Twitter

https://twitter.com/ploomber/status/1626582335440457735 With #sklearn_evaluation, you can generate a classification report easily! It integrates numerical scores, as well as a color-coded heatmap to show the precision, recall, F1, and support scores for the #model. 🥸 Generate yours: 👉 https://t.co/tgIR002Bem #DataScience #ML https://t.co/HJGNpoipWp Twitter

https://twitter.com/ploomber/status/1626672858700079114 𝔘𝔰𝔢 #𝔰𝔨𝔩𝔢𝔞𝔯𝔫_𝔢𝔳𝔞𝔩𝔲𝔞𝔱𝔦𝔬𝔫 𝔱𝔬 𝔢𝔳𝔞𝔩𝔲𝔞𝔱𝔢 𝔶𝔬𝔲𝔯 #𝔐𝔏 𝔪𝔬𝔡𝔢𝔩𝔰! ⚔️ Get started: 👉 https://buff.ly/3R7i8XQ Twitter

https://twitter.com/ploomber/status/1626964260654907392 Woohoo! 🎉 The new Jupyter Desktop application is here! Check out the announcement from the Jupyter team! https://t.co/XvbEPkzyg5 https://t.co/HALuPkGvb7 Twitter

https://twitter.com/ploomber/status/1628122409281720323 Want to get back on track with your analysis and not lose yourself in the execution of code? ⏳ Check out #jupyterlab_cell_flash, a #Jupyter Extension that makes it easy to visually track what you’re working on. Don't get lost in your executions! 😵 👉 https://t.co/zzbr8c157D https://t.co/k0ApP3NshI Twitter

https://twitter.com/ploomber/status/1630931138737852417 Who wants to be JupySQL's 100th star? ⭐ https://buff.ly/3KKsP1k Twitter

https://twitter.com/ploomber/status/1631293365743501313 Check out this great in-depth JupySQL tutorial from @weimenglee, it'll walk you through JupySQL's main features with sample code! Thanks Wei-Meng for creating this amazing learning resource! https://t.co/VR09BfuWYq Twitter

https://twitter.com/ploomber/status/1632743552907182081 SQL syntax highlighting on Juypyter Lab! 🤩 Check out our new tutorial: https://buff.ly/3ZjU1bF Twitter

https://twitter.com/ploomber/status/1633105369231769603 Using SQL Server? Wouldn't it be amazing if you could query your database from Jupyter? 📊 Check out our new tutorial! https://t.co/ai77CNyS76 https://t.co/GQqB9vKzpi Twitter

https://twitter.com/ploomber/status/1633195815857721344 We just published a new blog post showing how to convert @streamlit dashboards to EXE files! This tutorial will help anyone who wants to share their Streamlit dashboards with people who don't know Python, as they no longer need to set up an environment! https://t.co/dm5csC46G2 Twitter

https://twitter.com/ploomber/status/1633468117987762176 Using @MySQL? Wouldn't it be amazing if you could query your database from Jupyter? 📊 Check out our new tutorial! https://t.co/v5kSRJ0wNs https://t.co/4jZMySBaJh Twitter

https://twitter.com/ploomber/status/1634192440100782083 Great news for JupySQL and @DataPolars users! We just released an update allowing easy conversion of results from SQL queries to Polars data frames. This new feature enables you to seamlessly integrate your data with Polars powerful API. Check it out! https://t.co/t0v2l6prS4 https://t.co/1TKUgIVCWx Twitter

https://twitter.com/ploomber/status/1635280159749320706 🚀 Supercharge your data visualization game with this talk presented at @PyData by @edublancas! Learn a simple yet effective technique to visualize large datasets on your laptop using @DuckDB, without the hassle of a Spark cluster. https://t.co/Q9Qgvqlg1N #SQLite #DuckDB Twitter

https://twitter.com/ploomber/status/1635402945591115777 Big news for JupySQL users! We released an update that allows compatibility with Databricks; you can use the existing %%sql magic and JupySQL's %%jupysql. https://t.co/9yIC03PzQJ https://t.co/MDqDRMrHnM Twitter

https://twitter.com/ploomber/status/1635642113776926725 We just released a new tutorial on how to run SQL queries on @mariadb from Jupyter using JupySQL! With this tutorial, you'll learn how to connect to a MariaDB database, query the data, and visualize the results directly from Jupyter. https://t.co/xHhg1vLNBL @mariadb_org Twitter

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