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Top Free Git GUI Clients for Beginners Who is it for: programming and data science beginners, developers, data scientist Why is it relevant: Learn about beginner-friendly Git GUI clients and perform Git-based tasks using an interactive user interface. https://www.kdnuggets.com/2022/10/top-free-git-gui-clients-beginners.html

@Marc H. Guirand has joined the channel

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set the channel topic: Share your shameless plugs!

has renamed the channel from "random" to "be-shameless"

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Hi There; We are live with the Feature Store Summit 2022! you can still join anywhere from or Zoom 🎉 This year’s lineup includes Uber, Linkedin, Microsoft and quite a few more. Cheers!

Ensemble Learning with Examples Who is it for: Machines Learning Engineer, Data Scientists, and Data Science Beginners Why is it relevant: Learn various algorithms to improve the robustness and performance of machine learning applications. Furthermore, it will help you build a more generalized and stable model. https://www.kdnuggets.com/2022/10/ensemble-learning-examples.html

An Introduction to Q-Learning: A Tutorial For Beginners Learn about the most popular model-free reinforcement learning algorithm with a Python tutorial. https://www.datacamp.com/tutorial/introduction-q-learning-beginner-tutorial

Should I Learn Julia? Do you think learning Julia is better for your data science career? Let’s find out. https://www.kdnuggets.com/2022/11/learn-julia.html

@Dasha Maliugina has joined the channel

Hello there, Orchest community! 👋 Last week we hosted Ask-Me-Anything session with @Rick Lamers in the Evidently community 📊 We chatted about the future of data pipelines and the evolution of orchestration tools, building products for data people and the perks of being open-source. If you feel like it, check out the recap blog 👇 https://www.evidentlyai.com/blog/ama-rick-lamers

Who is it for? anyone who wants to use Julia on Jupyter notebook or VScode Learn three simple steps to install Julia for Jupyter Notebook and write your first data visualization code. https://www.kdnuggets.com/2022/11/setup-julia-jupyter-notebook.html

A Complete Guide to Data Augmentation Who is it for: beginners, students, data scientists, and machine learning enthusiasts. Learn three simple steps to install Julia for Jupyter Notebook and write your first data visualization code. https://www.datacamp.com/tutorial/complete-guide-data-augmentation

Hi there, using orchest.io a while ago I’ve made a tutorial on how to create a daily prediction service based on the very unoriginal iris dataset; feel free to share, comment, and more. Cheers https://medium.com/@magiclex/make-a-prediction-every-day-with-serverless-machine-learning-5c8764bb7acd

The 23 Top Python Interview Questions & Answers Essential Python interview questions with examples for job seekers, final-year students, and data professionals. https://www.datacamp.com/blog/top-python-interview-questions-and-answers

17 Top MLOps Tools You Need to Know Discover top MLOps tools for experiment tracking, model metadata management, workflow orchestration, data and pipeline versioning, model deployment and serving, and model monitoring in production. https://www.datacamp.com/blog/top-mlops-tools

Who is it for: Data Science and data analytics beginners and professionals. Why is it relevant: Explore our list of data analytics projects for beginners, final-year students, and professionals. The list consists of guided/unguided projects and tutorials with source code. https://www.datacamp.com/blog/data-analytics-projects-all-levels

12 Essential Commands for Streamlit Who is it for: Data Science and Machine Learning Beginner. Learn about the most commonly used Streamlit commands and build a customized web application. https://www.kdnuggets.com/2023/01/12-essential-commands-streamlit.html

Encoding Categorical Features with MultiLabelBinarizer Transform multi-label format into a binary matrix for multi-label classification. link: https://www.kdnuggets.com/2023/01/encoding-categorical-features-multilabelbinarizer.html

Thank you all guys for the journey and the impact your product made 💪 Good luck on new adventure

Python String Matching Without Complex RegEx Syntax Who is it for? Python developers, data scientist, and NLP engineers. Why is it relevant? Learn how to use human-friendly programmable regular expressions for complex Python string matching. https://www.kdnuggets.com/2023/02/python-string-matching-without-complex-regex-syntax.html

Hello guys!! I would like to share with you the Product Hunt Launch of Dadosfera: a Data, AI and Analytics Platform that uses the Orchest open-source up some modules Check here: https://www.producthunt.com/posts/dadosfera-2 I apreciate the Orchest community support in our launch!

Hello.

How are you? I am glad to reach you. I am a full stack developer and am looking for a new job or opportunity in IT field. I think we can collaborate in our field. Looking forward to hearing from you. Thank you.