Scikit-learn Reviews

Awesome ChatGPT Prompts Reviews

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 22 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago

Awesome ChatGPT Prompts mentions (44)

• 🌌 5 Open-Source GPT Wrappers to Boost Your AI Experience 🎁

  Aside from the built-in prompts powered by awesome-chatgpt-prompts (Are you an ETH dev, a financial analyst, or a personal trainer today?), you can also create, share and debug your chat tools with prompt templates. - Source: dev.to / 6 months ago

• Ask HN: Daily practices for building AI/ML skills?

  I've found the following resources helpful: - 15 Rules For Crafting Effective GPT Chat Prompts (https://expandi.io/blog/chat-gpt-rules/) - Awesome ChatGPT Prompts (https://github.com/f/awesome-chatgpt-prompts) For more resources of like nature, you can search for "mega prompt". - Source: Hacker News / 7 months ago

• Prompt writing communities

  Someone assembled an adhoc page in Github that is amassing quite a large library of prompt ideas [Github]. Source: 7 months ago

• Ask HN: Collection of best GPT-4 prompts?

  I like to use PromptLayer for this. But you could easily set up a simple CRUD web app to track prompts/average completion token # length, different variations. There is also awesome-chatgpt-prompts (https://github.com/f/awesome-chatgpt-prompts) which has some interesting ones. What are you looking for? - Source: Hacker News / 10 months ago

• Introducing YourChat: A multi-platform LLM chat client that supports the APIs of text-generation-webui and llama.cpp.

  * Built-In Prompts: Channel creativity using integrated prompts sourced from github.com/f/awesome-chatgpt-prompts. Source: 11 months ago