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---
title: Best Data Science posts — March 2025 | daily.dev
description: The most upvoted Data Science posts from March 2025, curated by the daily.dev community.
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# Best of Data Science — March 2025

1. 1  
[](https://daily.dev/posts/12-powerful-tools-for-ai-agents-tuwvjgqkv "12 Powerful Tools For AI Agents")  
Article  
![Avatar of dailydoseofds](https://media.daily.dev/image/upload/s--4IHQgTOw--/f_auto/v1710503712/logos/dailydoseofds)Daily Dose of Data Science | Avi Chawla | Substack · 2y  
12 Powerful Tools For AI Agents  
A comprehensive guide listing 12 powerful tools included in the CrewAI framework for building AI agents. The tools range from file reading and writing, code interpreting, and web scraping to advanced functionalities like RAG-powered searches and natural language to SQL conversion. Additionally, the post highlights a full crash course on AI agents, covering everything from fundamentals to production optimization.  
162
2. 2  
[](https://daily.dev/posts/time-complexity-of-10-ml-algorithms-cd9mplonm "Time Complexity of 10 ML Algorithms")  
Article  
![Avatar of dailydoseofds](https://media.daily.dev/image/upload/s--4IHQgTOw--/f_auto/v1710503712/logos/dailydoseofds)Daily Dose of Data Science | Avi Chawla | Substack · 1y  
Time Complexity of 10 ML Algorithms  
Understanding the run-time complexity of machine learning algorithms is essential for efficient model implementation. Popular algorithms like SVM and t-SNE have limitations with large datasets due to their cubic and quadratic time complexities, respectively. Accurate knowledge of these complexities helps in selecting the right algorithm and optimizing performance.  
105
3. 3  
[](https://daily.dev/posts/streamoku---streamlit-hosting-made-simple-ebcl57yku "Streamoku - Streamlit hosting made simple")  
Article  
![Avatar of ph](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/ph)Product Hunt · 2y  
Streamoku - Streamlit hosting made simple  
Streamoku simplifies the deployment of Streamlit apps with features like one-click deployment, global scalability, and flexible privacy options, allowing users to focus on data science while Streamoku manages the infrastructure.  
33  
1
4. 4  
[](https://daily.dev/posts/making-sure-you-re-not-a-bot--tnza0770d "Making sure you're not a bot!")  
Article  
![Avatar of lobsters](https://media.daily.dev/image/upload/s--tl8v_Fku--/f_auto,t_logo/v1698841318/logos/lobste.jpg)Lobsters · 1y  
Making sure you're not a bot!  
The post reports the completion of a task in 445 milliseconds, taking 3,009,490 iterations.  
30  
12
5. 5  
[](https://daily.dev/posts/how-to-extract-youtube-analytics-data-and-analyze-in-python-igwf5flny "How to Extract YouTube Analytics Data and Analyze in Python")  
Article  
![Avatar of freecodecamp](https://media.daily.dev/image/upload/t_logo,f_auto/v1628412854/logos/freecodecamp)freeCodeCamp · 1y  
How to Extract YouTube Analytics Data and Analyze in Python  
Learn how to export data from YouTube Analytics into Python for advanced analysis and visualization. The guide covers tools like Jupyter Notebook, and libraries including Pandas, Seaborn, and Matplotlib. It also delves into correlation and audience retention analysis, providing insights for data-driven content creation decisions.  
12

[See all Data Science archives](/tags/data-science/best-of)

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