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A next advance step towards ML model working flow by learning and demonstrating a simple Linear regression Algorithm. It's an exciting and fun step after learning and understanding practically the concepts of NumPy, Pandas , Matplotlib and Sklearn f

🚀 From Naive Assumptions to Ensemble Mastery Just conquered Naive Bayes, KNN, Decision Trees & Random Forest in my ML journey! 🧠 Key Breakthroughs: Naive Bayes: Shocked how well it works despite "naive" feature independence assumption! All variants

Proud Milestones with CleanXo! Post Body: Today, I want to share some achievements in my journey building CleanXo, my automated data science platform! Here’s what I’ve accomplished so far: Designed the full vision for CleanXo: from data cleaning t

🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

IT IS THE REALITY NOWW!!! DAMN!! . The Meta AI Boom is Here — and It’s Smarter Than Ever Lately, I’ve been noticing something interesting in Meta Ads. The platform isn’t just testing creatives anymore… it’s learning from them. I’ve seen ads in the s

I fine-tuned 3 models this week to understand why people fail. Used LLaMA-2-7B, Mistral-7B, and Phi-2. Different datasets. Different methods (full tuning vs LoRA vs QLoRA). Here's what I learned that nobody talks about: 1. Data quality > Data quan