𝗝𝗣 𝗠𝗼𝗿𝗴𝗮𝗻 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺😍

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4 ways to run LLMs like DeepSeek-R1 locally on your computer:

Running LLMs locally is like having a superpower:

- Cost savings
- Privacy: Your data stays on your computer
- Plus, it's incredibly fun

Let us explore some of the best methods to achieve this.

1️⃣ *Ollama*

* Running a model through Ollama is as simple as executing a command: ollama run deepseek-r1
* You can also install Ollama with a single command: curl -fsSL https:// ollama. com/install .sh | sh

2️⃣ *LMStudio*

* Install LMStudio can be installed as an app on your computer.
* It offers a ChatGPT-like interface, allowing you to load and eject models as if you were handling tapes in a tape recorder.

3️⃣ *vLLM*

* vLLM is a fast and easy-to-use library for LLM inference and serving.
* It has State-of-the-art serving throughput ⚡️
* A few lines of code and you can locally run DeepSeek as an OpenAI compatible server with reasoning enabled.

4️⃣ *LlamaCPP (the OG)*

* LlamaCPP enables LLM inference with minimal setup and state-of-the-art performance.

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𝗦𝘁𝗿𝘂𝗴𝗴𝗹𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜? 𝗧𝗵𝗶𝘀 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 𝗶𝘀 𝗬𝗼𝘂𝗿 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗦𝗵𝗼𝗿𝘁𝗰𝘂𝘁!😍

Mastering Power BI can be overwhelming, but this cheat sheet by DataCamp makes it super easy! 🚀

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No more flipping through tabs & tutorials—just pin this cheat sheet and analyze data like a pro!✅️

Don't waste your lot of time when learning data analysis.

Here's how you may start your Data analysis journey

1️⃣ - Avoid learning a programming language (e.g., SQL, R, or Python) for as long as possible.

This advice might seem strange coming from a former software engineer, so let me explain.

The vast majority of data analyses conducted each day worldwide are performed in the "solo analyst" scenario.

In this scenario, nobody cares about how the analysis was completed.

Only the results matter.

Also, the analysis methods (e.g., code) are rarely shared in this scenario.

Like for next steps

#dataanalysis

𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍

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SQL is one of the core languages used in data science, powering everything from quick data retrieval to complex deep dive analysis. Whether you're a seasoned data scientist or just starting out, mastering SQL can boost your ability to analyze data, create robust pipelines, and deliver actionable insights.

Let’s dive into a comprehensive guide on SQL for Data Science!

I have broken it down into three key sections to help you:

𝟭. 𝗦𝗤𝗟 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀:
Get a handle on the essentials -> SELECT statements, filtering, aggregations, joins, window functions, and more.

𝟮. 𝗦𝗤𝗟 𝗶𝗻 𝗗𝗮𝘆-𝘁𝗼-𝗗𝗮𝘆 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:
See how SQL fits into the daily data science workflow. From quick data queries and deep-dive analysis to building pipelines and dashboards, SQL is really useful for data scientists, especially for product data scientists.

𝟯. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗦𝗤𝗟 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀:
Learn what interviewers look for in terms of technical skills, design and engineering expertise, communication abilities, and the importance of speed and accuracy.

𝗧𝗼𝗽 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝘃𝗶𝗿𝘁𝘂𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀😍

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𝟱 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍

Whether you’re a complete beginner or looking to level up, these courses cover Excel, Power BI, Data Science, and Real-World Analytics Projects to make you job-ready.

𝐋𝐢𝐧𝐤👇:-

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All The Best 🎊

𝟱 𝗙𝗿𝗲𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗹𝗮𝗻𝘀 𝘁𝗼 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗶𝗻 𝗧𝗲𝗰𝗵 & 𝗔𝗜!😍

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