That's a wrap! If you interested in: – Python – Machine Learning – AI Engineering Find me → @akshay_pachaar Everyday, I share tutorials on above topics! Cheers!!
@akshay_pachaar
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PCA: Dimensionality Reduction Using Eigenvalues and Eigenvectors
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PCA is a powerful technique for dimensionality reduction & data visualisation. We will use eigenvalues & eigenvectors to compute the principal components(PCs) The eigenvectors (PCs) give the direction of the new space, while eigenvalues determine their magnitude (or importance)
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PCA Explained and Implemented from Scratch Python
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PCA clearly explained & implemented from scratch using Python:
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Agentic RAG Tutorial Coming Soon with Llama Index
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I am working on an agentic RAG using @llama_index tutorial, will be out in a few days! Stay tuned!!
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Transform Agents into Microservices with Llama-Agents
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Turn your agents into microservices In llama-agents, you can set up both an agent service and a tool service, turning your agents into powerful microservices. The agent service takes user input and reasons about the next task to solve, while the tool service can execute
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Python Machine Learning and AI Engineering Tutorials
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If you interested in: – Python – Machine Learning – AI Engineering Find me →
@akshay_pachaar
Check my tutorial on Python Decorators: -
Python, Machine Learning, MLOps, and AI Engineering Resources
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If you interested in: – Python – Machine Learning – MLOps – CV/NLP – LLMs – AI Engineering Find me →
@akshay_pachaar My Newsletter on AI Engineering → @ML_Spring Cheers! 7/n -
Complete Guide to Datalab Workflows and Use Cases
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Here's a complete guide with examples that demonstrates various useful things you can do with Datalab! Check this out https://
docs.cleanlab.ai/stable/tutoria
ls/datalab/workflows.html
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