FREE 3-Day Object Detection Challenge
⭐️ Build your own object detection model from start to finish!
Hey friends! Lately, I have been in touch with Data-Driven Science. They offer self-paced and hands-on learning on practical data science challenges.
A 3-day object detection challenge is available for free. Here, you’ll get to train an end-to-end ML model for object detection using computer vision techniques.
The challenge is guided, meaning you don’t need any prior expertise. Instead, you will learn as you follow the challenge.
Also, you’ll get to apply many of my previous tips around Image Augmentation, Run-time optimization, and more.
All-in-all, it will be an awesome learning experience.
👉 Register for the challenge here: https://datadrivenscience.com/free-object-detection-challenge/.
Let’s get to today’s post now.
Scikit-LLM is an open-source tool that offers a sklearn-compatible wrapper around OpenAI's API.
In simple words, it combines the power of LLMs with the elegance of sklearn API.
Thus, you can leverage LLMs using common sklearn functions such as fit, predict, score, etc.
What's more, you can also place LLMs in the sklearn pipeline.
Get started: Scikit-LLM GitHub.
Thanks for reading Daily Dose of Data Science! Subscribe for free to learn something new and insightful about Python and Data Science every day. Also, get a Free Data Science PDF (250+ pages) with 200+ tips.
👉 Read what others are saying about this post on LinkedIn and Twitter.
👉 Tell the world what makes this newsletter special for you by leaving a review here :)
👉 If you liked this post, don’t forget to leave a like ❤️. It helps more people discover this newsletter on Substack and tells me that you appreciate reading these daily insights. The button is located towards the bottom of this email.
👉 If you love reading this newsletter, feel free to share it with friends!
👉 Sponsor the Daily Dose of Data Science Newsletter. More info here: Sponsorship details.
Find the code for my tips here: GitHub.
I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.
Very helpful and interesting post.