5 Fun Data Science Projects for Absolute Beginners
kdnuggets.com·15h
📊Data Science
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Find and Highlight Data in Excel Using Python
dev.to·1h·
Discuss: DEV
📝Natural Language Processing
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Complete Guide to Deploying Machine Learning Models with Flask and Docker(NO fluff configure and run like a pro)
dev.to·1d·
Discuss: DEV
🚀MLOps
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Powerful data visuzlization for Substack posts
automato.substack.com·10h·
Discuss: Substack
📊Data Science
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·13h·
Discuss: r/cpp
🗄️Vector Databases
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The Infrastructure of Modern Ranking Systems, Part 3: The MLOps Backbone - From Training to Deployment
shaped.ai·1d
🚀MLOps
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Enhancing LOD Integrity via Hyperdimensional Semantic Graph Normalization & Automated Anomaly Detection
dev.to·7h·
Discuss: DEV
🚀MLOps
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🧠 Smart Text Matching: RapidFuzz vs Difflib
dev.to·11h·
Discuss: DEV
📝Natural Language Processing
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·8h
📝Natural Language Processing
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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[D][P] PKBoost v2 is out! An entropy-guided boosting library with a focus on drift adaptation and multiclass/regression support.
reddit.com·17h·
Discuss: r/MachineLearning
🚀MLOps
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Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spark to Fix It
hackernoon.com·23h
🚀MLOps
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Free Time Limited Download: Python for Absolute Beginners (worth $11.99)
neowin.net·9h
⛓️LangChain
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Should I use Tanstack table or write my own?
tanstack.com·13h·
Discuss: r/reactjs
🔍RAG
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The Data Engineering Agent is now in preview
cloud.google.com·9h
⛓️LangChain
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Datalyzer – AI Analysis Report Generator
dataanalyzer.pro·9h·
Discuss: Hacker News
🤖AI
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Can-t stop till you get enough
cant.bearblog.dev·1d·
Discuss: Hacker News
🤖AI
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The Case Against PGVector
alex-jacobs.com·15h·
Discuss: Hacker News
🗄️Vector Databases
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✅ Day 56 of My Data Analytics Journey — Deep Dive into Pandas 🐼✨
github.com·4d·
Discuss: DEV
📊Data Science
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·23h
🔍RAG
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