๐๐ป๐๐ฟ๐ผ ๐๐ผ ๐๐ถ๐ & ๐๐ถ๐๐๐๐ฏ ๐ฏ๐ ๐๐ผ๐ผ๐ด๐น๐ฒ For those who are looking for a structured course & a certification, this is a great course offered by Google! Check this out
@akshay_pachaar
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Learn Git Fundamentals for Dangerous Technical Proficiency
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๐๐ฒ๐ฎ๐ฟ๐ป ๐ฒ๐ป๐ผ๐๐ด๐ต ๐๐ถ๐ ๐๐ผ ๐ฏ๐ฒ ๐๐ฎ๐ป๐ด๐ฒ๐ฟ๐ผ๐๐ For those who like to dig even deeper! Check this out
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Master Git and Version Control: Free Resources for Programmers
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Data Scientist or Software engineer, every programmer must know Git! Here are some of the best resources to master Git and Version Control for FREE:
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xAI Names Its LLM Grok: An Interesting Branding Choice
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Interesting how xAI calls itโs LLM grok!!
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Python ML Engineering tutorials on LLMs and AI
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That's a wrap! If you interested in: – Python – ML/MLOps – CV/NLP – LLMs – AI Engineering Find me โ @akshay_pachaar Subscribe to my Newsletterโ https://
mlspring.beehiiv.com/subscribe Everyday, I share tutorials on above topics! Cheers! -
PR Curve: Evaluating and Comparing Machine Learning Models
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PR curve is also a great way to evaluate & compare different models. A model with perfect precision & recall will have a PR curve that hugs the top right corner of the graph. So, the area under the curve can also be used as a metric to compare different models. Check this
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Creating PR-Curve for Logistic Regression Model
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Let's take first our first example & create PR-curve for a logistic regression model! Check this out
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PR-Curve: Understanding Precision-Recall Trade-offs
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PR-curve is a graphical representation that shows the trade-off between precision & recall for different threshold values. Here are 5 simple steps to create one!
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Understanding Precision and Recall in Machine Learning
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If you already understand the concepts of precision and recall, feel free to skip to the next tweet. But if not, don't worryโI've got you covered! You can check my previous post on understanding precision & recall
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Precision-Recall Curve: Balancing Model Performance Metrics
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A Data Scientist often needs to strike a balance between Precision & Recall! The two are competing metrics & this is where a PR-curve comes to the rescue! Today, I'll clearly explain Precision-Recall Curve & how to create one for your model! Let's go!