This course was really informative. Material provided and tutorial demonstration was excellent. It helped me gain valuable skills for my professional career. Helpful 7 months ago The Machine Learning course was exceptional, offering a comprehensive blend of theory and practical applications. The instructo...
【初学者,由于之前断断续续学习Python数据分析,并未系统的整理过。借着在FreeCodeCamp上学习就顺手整理一下】 第一课内容(概述,没有花很多时间深度研读) About this tutorial||关于本教程 What is Data Analysis||什么是数据分析 Real example Data Analysis with Python||使用 Python 进行数据分析案例 How to us...
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For web development with python and flask course on freecodecamp - Stalker963/freecodecamp-tutorial-flask-jovian
Updated Jul 29, 2024 Python jeanrauwers / mern-course-bootcamp Star 1.1k Code Issues Pull requests Complete Free Coding Bootcamp with the MERN Stack react react-native mongodb frontend sockets freecodecamp series coding mern learning-js coding-bootcamp mern-stack youtube-tutorial-series Updat...
this may not be the best tutorial for this particular web dev, but you sort of then incite people to join you and help you. And I think for some organizations back that can be tough. It has to be perfectly polished before it’s pushed. So where’s the room for volunteers to step ...
Their YouTube channel even has a four-hour beginner tutorial in HTML if you’d like to add an instructor aspect. We can’t stress enough how free freeCodeCamp is. If it does become your coding school of choice, it would be a mistake to miss out on everything it has to offer. The...
收集整理自https://www.youtube.com/c/Freecodecamp/featured 该博主分享了C、C++、JAVA、PYTHON、HTLM、TensorFlow、SQL等一系列编程、数据库、机器学习、深度学习等等教程。本课程系2018年课程。 编程 科技 计算机技术 JAVASCRIPT 计算机科学 软件开发 打卡挑战 ...
This Python tutorial will show you how to build your own RAG pipeline using the open source LlamaIndex framework. This way, you can get more customized results from your LLM, with fewer hallucinations. (20 minute read): https://www.freecodecamp.org/news/how-to-build-a-rag-pipeline-with-...
This tutorial depends on the following libraries: Tensorflow Keras >= 1.0 Also, this code should be compatible with Python versions 2.7-3.5. Run main.py You will see the predicted results of test image in data/membrane/test Or follow notebook trainUnet Results Use the trained model to do se...