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Day 20 🌱 Learned key backend concepts today: • 🏗️ MVC in Node.js for cleaner app structure • 🍃 Basics of MongoDB • 🔗 Connecting MongoDB with Mongoose Step by step, building full-stack apps feels closer 🚀 #100DaysOfCode #NodeJS #MongoDB

Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for nume

Hey Folks! 👋 Over the past few days, I dedicated my time to understanding the Linux operating system — diving deep into: ✅ Basic Linux Commands ✅ System-Level Commands ✅ User and Group Management ✅ File Management ✅ File Compression & Archiving

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

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

Day x of learning python as a beginner. Nor more? Its been a month since I started leaning python as my first programming language. I am really enjoying my python journey and have learned many important concepts which will be used throughout my prog

Day 12 of learning AI/ML as a beginner. Topic: TF-IDF practical. Yesterday I shared my theory notes and today I have done the practical of TF-IDF. For the practical I reused my spam classifier code and for TF-IDF I first imported it from the sklear