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Day 73: Linear regression revision day. Going back to basics when you're neck-deep in complex projects hits different. Sometimes the fundamentals remind you why you started coding in the first place.

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

Give me 2 minutes, I will tell you How to Learn Reinforcement Learning for LLMs A humorous analogy for reinforcement learning uses cake as an example. Reinforcement learning, much like baking a cake, involves trial and error to achieve a desired ou

🚀 Day 1 of My Machine Learning Journey Machine Learning isn’t magic — it’s built on three strong pillars 👇 🔹 1. Mathematics You don’t need to be a professor in math ❌ Just a clear understanding of these core concepts is enough: ✔ Linear Algebra ✔

Hi everyone! 👋 I’m Ankit Rai, currently pursuing my MCA with a specialization in Data Science and have recently completed “The Ultimate Job Ready Data Science Course” by CodeWithHarry, focusing on real-world projects using Python, SQL, Machine Learn

Personal Milestone Unlocked | IIT Delhi AI & ML Certification I’ve successfully completed the "Artificial Intelligence and Machine Learning for Industry" programme offered by Indian Institute of Technology, Delhi under the Yardi School of Artificial

🌦 Weather Prediction Using Machine Learning 📊 I’m excited to share one of my recent projects — a Weather Prediction Model built using machine learning! 🚀 📌 Project Overview: The model was trained to predict temperature based on historical weath

AI isn’t magic. It’s a language. And knowing its terms is the first step to mastering it. Here’s a quick guide to what every professional should understand: Machine Learning - algorithms predicting outcomes from patterns in data. Neural Networks -

We developed a deep neural network for forecasting internal resource demand across systems, expecting it to outperform traditional models. But in deployment, a simple linear regression delivered better accuracy, stability, and faster inference times.

Most people miss these steps while learning AI. I’ve explained the complete AI learning path in detail. 1. Learn what AI, ML, and Deep Learning actually mean. 2. Observe how AI works in apps like Netflix, Google, and ChatGPT. 3. Get comfortable wit