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#machine-learning-models

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#8 Linear Regression

May 23 · 4 min read · Linear Regression is a supervised machine learning algorithm used for predicting continuous numerical values. It finds the relationship between input variables and output variables using a straight li

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MMediuswaremediusware.hashnode.dev

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Python Sentiment Analysis: From TextBlob to BERT

May 19 · 9 min read · Imagine opening your laptop and seeing thousands of customer reviews, support tickets, survey responses, and social comments waiting for analysis. You cannot read everything manually. But you still ne

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SVShanitha VAdata-sciences.hashnode.dev

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What Does an MLOps Engineer Actually Do?

May 11 · 2 min read · Somewhere inside a company, a data scientist builds a brilliant AI model. Everyone claps.The model works perfectly.Accuracy is 98%. Then… production happens. Suddenly: The model stops working Server

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AZAyomide Zaccheauspapizee.hashnode.dev

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From Zero to Full-Stack ML Engineer: How I Built a Complete Student Performance Prediction System in One Week

May 8 · 14 min read · A honest, beginner-friendly walkthrough of building a production-ready ML application with SQL Server, Python, FastAPI and GitHub — errors, confusion and all. A Little Background I'll be honest with

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MKMahrab Khantechgreek.hashnode.dev

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The Complete Crash Course: Mastering Machine Learning on Google Cloud

Apr 19 · 4 min read · Welcome to the ultimate crash course on Machine Learning (ML) using Google Cloud. Whether you are a developer looking to integrate pre-trained models, a data scientist training custom neural networks,

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PBPandit Barkatepandit-barkate.hashnode.dev

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Need of Virtual Environments in the Python

Apr 14 · 2 min read · I was building the model in Machine Learning and I got couple of errors while installing the libraries. I debugged and resolved with resources as explained below. Issue 1: compatibility issue while in

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AAmie.codecoffeee.hashnode.dev

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Building Reliable ML Systems: An Introduction to MLOps

Apr 11 · 4 min read · Imagine you are building a system that can predict house prices. You collect data, clean it, and train a model in a Jupyter notebook. The model performs well on your test data, and everything seems re

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ARAshikur Rahmanashik1000.hashnode.dev

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How ChatGPT and Claude Actually Work

Apr 3 · 10 min read · Part 3 of 3: The AI Series That Explains Everything Simply In Part 1, we built a spam detector and understood how a neural network thinks. In Part 2, we watched it train — weights going from random to

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ARAshikur Rahmanashik1000.hashnode.dev

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🧠 LLMs and AI Agents: The Brains and the Doers of AI

Apr 3 · 5 min read · Artificial Intelligence is moving fast — every day we hear about new models, smarter agents, and tools that can almost feel like they think. AI is not just a buzzword; it’s transforming how we live an

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ASAkshay Sharmalucidakshay.hashnode.dev

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Surviving 12GB VRAM : Autonomous Memory Management for Local QLoRA Fine Tuning

Mar 22 · 4 min read · Local LLM training has a dirty secret. Everyone talks about the magic of custom weights, but nobody talks about the grueling reality of babysitting PyTorch scripts. You set up your data, configure you

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#machine-learning-models

Trending tags this week

#8 Linear Regression

Python Sentiment Analysis: From TextBlob to BERT

What Does an MLOps Engineer Actually Do?

From Zero to Full-Stack ML Engineer: How I Built a Complete Student Performance Prediction System in One Week

The Complete Crash Course: Mastering Machine Learning on Google Cloud

Need of Virtual Environments in the Python

Building Reliable ML Systems: An Introduction to MLOps

How ChatGPT and Claude Actually Work

🧠 LLMs and AI Agents: The Brains and the Doers of AI

Surviving 12GB VRAM : Autonomous Memory Management for Local QLoRA Fine Tuning