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Hello everyone day 14/100 Today’s Study / Project Update 📊 • Completed EDA learning • Started a self-driven data analytics example project • Collected the dataset on my own • Created an initial data summary • Identified dirty and messy data issues •

Hello everyone Today'd update Day 8/100 • Worked on a mini Zomato project • Performed basic data analysis on the dataset • Explored insights using Python • Created visualizations using Matplotlib • Revised important NumPy concepts and functions Focu

Building a Power BI dashboard is more than just creating visuals - it’s a structured process that turns raw data into actionable insights. Here are the 4 key stages of dashboard creation: 1️⃣ Loading & Transformation (Power Query) - Clean, shape, a

Statistical interview questions for entry-level data analyst roles in an MNC. 1. Explain the difference between mean, median, and mode. When would you use each? 2. How do you calculate the variance and standard deviation of a dataset? 3. What is ske

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

Basic of Statistics for data science Statistics is one of the most crucial subjects for the students. It has various methods that are helpful to solve the most complex problems of real life. Statistics is almost everywhere. Data science and data ana

Day 8 of learning Data Science as a beginner topic: multidimensional indexing and axis NumPy also allows you to perform indexing in multidimensional arrays i.e. in simple terms numpy allows you to access and manipulate elements even in arrays conta

How do you hire for roles that might not exist in six months? In today’s AI-accelerated world, anywhere from 15% to 50% of a team’s monthly workload can get automated. Tasks like lead research, outreach, and data analysis—once time-consuming—now hap

Fine-tune vs Prompt vs Context Engineering. Simple step-by-step breakdown for each approach. 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 (𝗠𝗼𝗱𝗲𝗹-𝗟𝗲𝘃𝗲𝗹 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻) 𝗙𝗹𝗼𝘄: 1. Collect Data → Gather domain-specific info (e.g., legal docs). 2. Sta

Automating Blog Post Creation with n8n Creating high-quality blog content consistently can be time-consuming, especially when you have to generate text, find relevant images, create SEO-friendly meta descriptions, and publish everything manually. Th