Data science

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Dhanian 🗯️ (@e_opore) on X

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Learn the most important Python list functions every beginner programmer should know. This cheat sheet explains essential list methods like append(), extend(), insert(), remove(), pop(), index(), sort(), and reverse() with simple syntax and uses. Perfect for Python beginners, coding students, and developers who want a quick reference while learning programming. Save this Python cheat sheet for faster coding and better understanding of list operations.

#Excel #exceltips #exceltricks

#gfg #datascience credits to gfg. not mine

Kubernetes Services : NodePort vs Loadbalancer #cybersecurity #networkengineer #networkengineers #networkengineering #networkadmin #networkadministrator #networkadministration #networkyy #linux #cisco #networkingengineer #cybersecuritytraining #cybersécurité #cybersecurityengineer #ai #aiengineering #artificalintelligence #artificial_intelligence

Kubernetes in Plain English

Everyone’s talking about how LLMs. But very few understand how they actually work behind the scenes. Here’s the full lifecycle of a Large Language Model (LLM) - simplified 👇 1. Data Collection → Massive datasets (books, code, research papers, websites) are gathered. 2. Data Cleaning → Irrelevant or duplicate text is removed and structured for training. 3. Model Architecture → Neural networks (like Transformers) define how patterns are learned. 4. Pretraining → The model learns to predict the...

→ 𝐓𝐡𝐞 𝐇𝐢𝐝𝐝𝐞𝐧 𝐌𝐚𝐩 𝐁𝐞𝐡𝐢𝐧𝐝 𝐄𝐯𝐞𝐫𝐲 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥 Ever felt overwhelmed choosing the right algorithm for your project? You’re not alone. Many jump straight into coding without a strategy, and the results? Frustration, wasted time, and missed insights. But what if you had a clear roadmap? → 𝐀 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐂𝐡𝐞𝐚𝐭𝐬𝐡𝐞𝐞𝐭 𝐟𝐨𝐫 𝐌𝐋 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 • Text Analytics - Extract meaning from words. Ideal for sentiment analysis, topic modeling, and chatbots. • Recommenders - Predict what users will like next...

Data cleaning in SQL