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3 ML Engineering Projects You Can Build For Your Resume 👇 If you want to break into ML or data engineering, building systems is much more valuable than just training models. Here are three projects
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Comment “DSA” and I’ll send it. If you’re trying to truly understand algorithms and data structures, not just memorize them for interviews, you need to see how they work. I’ve put together a set of
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Comment “GITHUB” to get the links! 🔥 Trying to build software without understanding Git and GitHub is like coding without saving your work. If you want real collaboration skills, clean version contr
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You don’t need to memorize every algorithm to get good at DSA. ❌ Data Structures and Algorithms are really about learning how to approach problems step by step. They help you understand how to choose
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You can’t just sprinkle async/await into your code and suddenly call it “asynchronous architecture.” 🛑 Real async programming is about controlling concurrency, managing I/O efficiently, and understa
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You can’t just slap an API inside a Docker container and call it a microservice architecture. 🛑 True microservices represent a massive shift in how we build, deploy, and scale complex systems. Under
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You simply cannot build modern, scalable software without understanding APIs. They are the bridge between every app, database, and service in the tech industry today. Mastering them is the fastest wa
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If you’re trying to break into data science, it can feel overwhelming because there are so many tools out there. (If you just want the complete, step-by-step visual guide of what to learn and in what
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These are some of the best beginner-friendly resources I’ve found to actually understand machine learning. Nothing overly complicated, just what you need to get the concepts and start building. Comm
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These are some of the resources that helped me understand GitHub and actually start using it for real projects. If you’re getting into coding, building projects, or working with others, GitHub is hone
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3 classification projects you can build this weekend. If you’re learning data science, one of the best ways to improve is by working on real classification problems. Here are three Kaggle projects y
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Tired of switching between AI tools all day? I’ve been testing ChatLLM by Abacus AI, and it puts all the major models like ChatGPT, Claude, Gemini, Grok, and DeepSeek into one simple dashboard. Rout
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About @emrcodes

Emir Özen | Software Engineer is a verified Instagram micro influencer in the Digital creator category. With 30.1K followers and 109 posts, emrcodes's account shows a follower-to-following ratio of 510.5:1. This profile demonstrates strong community engagement within its niche. View all content anonymously on Pictame - no login required.

emrcodes's engagement rate sits at 14.41%. That's 477% above what you'd typically see for accounts with 10K-100K followers (average 2.5%) — a sign of a genuinely connected audience.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 10 days. Captions lean detailed, averaging 763 characters.

14.41% engagement rate — 476% above average for 10K-100K follower accounts.
Posts about every 10 days.
510.5:1 follower-to-following ratio.

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@emrcodes

Emir Özen | Software Engineer

PublicDigital creator
Posts
109
Top Hashtags
#machinelearning#ai#university#coding#ad

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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Popular Hashtags

#girl#fun#follow#photo#friends#music#smile#family#life#amazing#instagram#lifestyle
Followers
30.1K
Following
59
Avg. Likes
3.4K
Avg. Comments
946
Engagement
14.41%

🎓 Computer Science (B.Sc.) ML & Data Engineering Real projects & dev resources 📩 emircodesall@gmail.com

#gym
#motivation
#sunset