<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>必应：Machine Learning Freecodecamp Org</title><link>http://www.bing.com:80/search?q=Machine+Learning+Freecodecamp+Org</link><description>搜索结果</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Machine Learning Freecodecamp Org</title><link>http://www.bing.com:80/search?q=Machine+Learning+Freecodecamp+Org</link></image><copyright>版权所有 © 2026 Microsoft。保留所有权利。不得以任何方式或出于任何目的使用、复制或传输这些 XML 结果，除非出于个人的非商业用途在 RSS 聚合器中呈现必应结果。对这些结果的任何其他使用都需要获得 Microsoft Corporation 的明确书面许可。一经访问此网页或以任何方式使用这些结果，即表示您同意受上述限制的约束。</copyright><item><title>freeCodeCamp Certifications</title><link>https://www.freecodecamp.org/news/freecodecamp-certifications/</link><description>The freeCodeCamp curriculum currently offers eleven certifications. In early 2022, we launched the redesigned Responsive Web Design certification, and a new Relational Database certification. Both are project-based, and include a lot of repetition as...</description><pubDate>周日, 05 4月 2026 04:09:00 GMT</pubDate></item><item><title>Statistics for Data Science — a Complete Guide for Aspiring ML ...</title><link>https://www.freecodecamp.org/news/statistics-for-data-science/</link><description>Anyone who wishes to develop a deep understanding of machine learning should learn how statistical methods form the foundation for regression algorithms and classification algorithms, how statistics allow us to learn from data, and how it helps us extract meaning from unlabeled data. Why should you master statistics?</description><pubDate>周日, 05 4月 2026 18:07:00 GMT</pubDate></item><item><title>Scientific Computing with Python - freeCodeCamp.org</title><link>https://www.freecodecamp.org/learn/scientific-computing-with-python/</link><description>Python is a powerful and popular programming language widely used for data science, data visualization, web development, game development, machine learning and more. In this project, you'll learn fundamental programming concepts in Python, such as variables, functions, loops, and conditional statements. You'll use these to code your first programs.</description><pubDate>周日, 05 4月 2026 23:14:00 GMT</pubDate></item><item><title>freeCodeCamp Programming Tutorials: Python, JavaScript, Git &amp; More</title><link>https://www.freecodecamp.org/news</link><description>Browse thousands of programming tutorials written by experts. Learn Web Development, Data Science, DevOps, Security, and get developer career advice.</description><pubDate>周六, 04 4月 2026 12:53:00 GMT</pubDate></item><item><title>freeCodeCamp.org - YouTube</title><link>https://www.youtube.com/c/Freecodecamp</link><description>Learn math, programming, and computer science for free. A 501(c)(3) tax-exempt charity. We also run a free learning interactive platform at freecodecamp.org</description><pubDate>周三, 01 4月 2026 09:07:00 GMT</pubDate></item><item><title>Python AI Tutorial from a LangChain Engineer - freeCodeCamp.org</title><link>https://www.freecodecamp.org/news/mastering-rag-from-scratch</link><description>This course is ideal for software engineers, data scientists, and researchers with a solid foundation in machine learning and natural language processing who are looking to expand their expertise in advanced AI techniques. Watch the full course on the freeCodeCamp.org YouTube channel (2.5-hour watch).</description><pubDate>周二, 31 3月 2026 20:36:00 GMT</pubDate></item><item><title>statistics - freeCodeCamp.org</title><link>https://www.freecodecamp.org/news/tag/statistics/</link><description>Browse thousands of programming tutorials written by experts. Learn Web Development, Data Science, DevOps, Security, and get developer career advice.</description><pubDate>周四, 02 4月 2026 12:34:00 GMT</pubDate></item><item><title>Machine Learning with Python Projects - freeCodeCamp.org</title><link>https://www.freecodecamp.org/learn/machine-learning-with-python/machine-learning-with-python-projects/book-recommendation-engine-using-knn</link><description>For now, you can go through the video challenges in this certification. You may also have to seek out additional learning resources, similar to what you would do when working on a real-world project. In this challenge, you will create a book recommendation algorithm using K-Nearest Neighbors.</description><pubDate>周一, 30 3月 2026 00:06:00 GMT</pubDate></item><item><title>Free Video: Machine Learning from freeCodeCamp | Class Central</title><link>https://www.classcentral.com/course/freecodecamp-machine-learning-54142</link><description>Comprehensive introduction to machine learning, covering neural networks, deep learning, and popular frameworks like TensorFlow and PyTorch through hands-on tutorials and practical applications.</description><pubDate>周五, 20 3月 2026 04:49:00 GMT</pubDate></item><item><title>Machine Learning with Python Projects - The freeCodeCamp Forum</title><link>https://forum.freecodecamp.org/t/machine-learning-with-python-projects-rock-paper-scissors/735782</link><description>Tell us what’s happening: Ok, I toiled on it the whole day but I think it’s time to ask for help. Basically, after several failed implementations, I finally came down to a strategy I’m partially happy with. My strategy is: Open with a random move; From there on, simply look at the last move the opponent played and play the ideal response to it Repeat that for x turns (x = revisit ...</description><pubDate>周日, 05 4月 2026 02:36:00 GMT</pubDate></item></channel></rss>