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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

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

We all know about AI, but do you know what Generative AI is? Generative AI is a unique subset of AI that doesn’t just analyze—it CREATES. Generative AI produces new content—like text, images, or music—based on the data it’s trained on. This is why it

Google’s new AI Overview UI is a massive shift for AEO. Google just realized they can't starve the ecosystem that feeds their models. ​They are updating AI Overviews with interactive "hover cards." Now, hovering over an AI citation pulls up the pub

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

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

What to Include in a Data Room for Investors: Essential Guide for Startups : Building an Investor Data Room: When to Share What with Investors Never share all company data upfront - even if investors request immediate data room access. Instead, fol