ACAnik Chandinanikchandml.hashnode.dev·May 23 · 4 min read#8 Linear RegressionLinear 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 li00
MMediuswareinmediusware.hashnode.dev·May 19 · 9 min readPython Sentiment Analysis: From TextBlob to BERTImagine 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 ne20
AZAyomide Zaccheausinpapizee.hashnode.dev·May 8 · 14 min readFrom Zero to Full-Stack ML Engineer: How I Built a Complete Student Performance Prediction System in One Week 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 00
MKMahrab Khanintechgreek.hashnode.dev·Apr 19 · 4 min readThe Complete Crash Course: Mastering Machine Learning on Google CloudWelcome 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,00
PBPandit Barkateinpandit-barkate.hashnode.dev·Apr 14 · 2 min readNeed of Virtual Environments in the PythonI 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 in00
AAmie.incodecoffeee.hashnode.dev·Apr 11 · 4 min readBuilding Reliable ML Systems: An Introduction to MLOpsImagine 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 re10
ARAshikur Rahmaninashik1000.hashnode.dev·Apr 3 · 10 min readHow ChatGPT and Claude Actually WorkPart 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 to10
ARAshikur Rahmaninashik1000.hashnode.dev·Apr 3 · 5 min read🧠 LLMs and AI Agents: The Brains and the Doers of AIArtificial 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 an00
ASAkshay Sharmainlucidakshay.hashnode.dev·Mar 22 · 4 min readSurviving 12GB VRAM : Autonomous Memory Management for Local QLoRA Fine TuningLocal 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 you00
UTUdyan Trivediintechragnarr.hashnode.dev·Mar 19 · 4 min readGetting Started with Hugging Face: Usage, Deployment & Real-World ApplicationsIn recent years, Hugging Face has become the go-to platform for working with state-of-the-art machine learning models, especially in Natural Language Processing (NLP), Computer Vision, and Generative 00