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BASIC MATH I think basic mathematics is really underrated. If you’re going to make money, if you’re going to invest money, your basic math should be really good. You don’t need to learn geometry, trigonometry, calculus, or any of the complicat

Are there any data scientists here? What new ways are you using large language models (LLMs) in your everyday tasks? Do you think we should include LLM topics in data science courses? If so, what should we focus on teaching? For example: - The bas

Duolingo’s Cool, But Here’s What I’d Love to See Next • Staying Consistent: Been on Duolingo for 2 years, learning Spanish and Portuguese—it’s addictive. 😅🔥 • New Stuff = Exciting: They’ve added math and music courses, which is awesome. 🎶📐 • M

yo, I am looking for a technical co-founder for my decision sciences startup. Should be really good at ML and data science . Preferred if you are good with statistics as well :) if you are super duper ambitious and want to change the way startup

Hey folks i am starting a new challenge to keep myself more greater version. I am starting my journey to data science And will upadate gere what i have learn daily . #100 days of code Day 1 >Oreintation -intorduction - basics of statistics . D

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

🚀 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 ✔

Hello Everyone, I am thrilled to announce that Starclouds' official global release is scheduled for 29th December! This release will include exciting features tailored for the data science community. Key Features Datasets Share and download datas

The complete AI, ML & GenAI roadmap. I've given a stepwise breakdown to master them. 𝗦𝘁𝗲𝗽 1 – 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 (1.5–2 𝗺𝗼𝗻𝘁𝗵𝘀) • Build core skills: Python, math, data handling, Git. • Learn 𝗡𝘂𝗺𝗣𝘆, 𝗣𝗮𝗻𝗱𝗮𝘀, 𝗠𝗮𝘁𝗽𝗹𝗼𝘁𝗹𝗶�

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