Python Load more… Add a description, image, and links to theminiprojectstopic page so that developers can more easily learn about it. To associate your repository with theminiprojectstopic, visit your repo's landing page and select "manage topics."...
A list of ideas for mini-projects that engineering students can build. Equip yourself with the experience you gain in developing them to be industry-ready.
Python Improve this page Add a description, image, and links to thesphero-minitopic page so that developers can more easily learn about it. To associate your repository with thesphero-minitopic, visit your repo's landing page and select "manage topics."...
Master computer vision and develop applications with Python, NumPy, and OpenCV. Learn image representation, manipulation, and pattern detection. Build portfolio-ready projects, including an image-filtering app and an image-matching project. Gain a comprehensive understanding of this powerful technology. ...
It will take you from a developer that knows a little machine learning in Python to a developer who can get results and bring the power of XGBoost to your own projects. Need help with XGBoost in Python? Take my free 7-day email course and discover xgboost (with sample code). Click to...
Beginner Python developers looking to create games Ren'Py developers looking to add minigames to their projects Anyone interested in 2D game development显示更多 学生还购买了 Aesprite for Beginners 总共12.5 小时更新日期 2025年1月 评分:4.3,满分 5 分4.3333 当前价格US$10.99 原价US$19.99 Python Basics...
For example, a user might ask: “How will summer energy usage in California compare to last year?” The model can search the web for public utility data, write Python code to build a forecast, generate a graph or image, and explain the key factors behind the prediction, chaining together...
For example, a user might ask: “How will summer energy usage in California compare to last year?” The model can search the web for public utility data, write Python code to build a forecast, generate a graph or image, and explain the key factors behind the prediction, chaining together...
$ python .\src\model_training.py Model Evaluation Metrics: {'accuracy': 0.781, 'precision': 0.7462121212121212, 'recall': 0.7137681159420289, 'f1_score': 0.7296296296296296} Powered By If you’re eager to learn about more topics in this area, check out our popular LLM tutorial, Fine-Tuning ...
If you liked this challenge module, we have more AI-powered challenges for you here in ourAI Kick-off Projects collection. There will be a brand new Challenge by Renee coming to this collection soon with some of the latest AI tools, more Copilot options, and ...