강의 하나로 끝내는 백엔드 모든 지식!
해여
백엔드 입문 걱정 끝! HTTP, API, DB 기초부터 MSA, 도커, 클라우드 최신 기술까지! 쉽고 체계적으로 배우는 백엔드 개발 지식!
입문
Docker, REST API, DBMS/RDBMS
Hello! Have you ever gotten tired of repeatedly writing the same code over and over again while doing data analysis? 😫 Now let's give your projects wings with PyCaret! 🚀 This course will teach you the secret to automating most of the tedious and complex machine learning processes with just 5 lines of code. Here's how this course will transform you! ✨ Master Real-World Projects: 📈Customer purchase prediction (classification), 📉Medical cost prediction (regression), 🧩Customer grouping (clustering), ⏳Airline passenger prediction (time series)! You can develop 'real' problem-solving skills by following along with 4 core projects hands-on. Acquire Expert Skills: But that's not all! 🤖 We'll also teach you expert skills like managing your models with MLOps and creating API servers with just a few clicks. Pretty amazing, right? Protect Your Work-Life Balance: Most importantly, we'll drastically reduce your repetitive tasks and help you focus only on core analysis. Leaving work on time is a bonus! 😉 Whether you're not yet comfortable with coding or you're a current professional wanting to explosively boost productivity, everyone is welcome! 👋 Shall we transform together into a '10x faster data scientist'?
5 learners are taking this course
Machine Learning Workflow Automation: Automate the entire process from data preprocessing, model comparison, tuning, to evaluation with just a few lines of code, increasing analysis speed by more than 10 times.
4 major machine learning project practices: Customer purchase prediction (classification), medical cost prediction (regression), customer segmentation (clustering), time series forecasting, and more - solve real business problems while developing practical skills.
Expert-level code writing: Beyond simple scripts, you'll master object-oriented programming (OOP) API usage to stably manage multiple experiments, enabling you to write more robust code.
'Black box' model interpretation capability: You will develop the ability to visually analyze why a model made certain predictions through the SHAP library and connect these insights to business intelligence.
Building foundational MLOps capabilities: Learn how to track experimental processes with MLflow and prepare completed models for deployment by creating APIs and Dockerfiles with just a few clicks.
Who is this course right for?
Current Data Analysts/Scientists: Those who want to dramatically reduce the time spent on repetitive modeling tasks and focus more on hypothesis testing and insight generation
Machine learning learners/job seekers: Those who know machine learning theory but struggle with handling real data and completing projects
Developer/Planner/Marketer: Those who want to reduce the burden of coding while quickly prototyping data-driven predictive models and applying them to their work
Need to know before starting?
Python Basic Syntax
It would be helpful if you are familiar with basic machine learning concepts such as Classification and Regression.
278
Learners
10
Reviews
20
Answers
4.8
Rating
5
Courses
반갑습니다!
AI와 컴퓨터 공학의 무한한 가능성을 탐구하며, 그 여정을 여러분과 나누고 싶은 해여입니다.
학부 시절 '컴퓨터 공학 중독자'라 불릴 만큼 전공에 대한 열정으로 4.4점 이상의 전공 학점으로 수석 졸업하였고, S대학원에서 AI를 전공하며 석사 학위를 받고 박사 과정을 통해 전문성을 심화했습니다.
하지만 이론적 탐구만큼이나 실제 세상의 문제를 AI로 해결하는 것에 큰 매력을 느껴, 박사 과정을 잠시 멈추고 스타트업에서 AI 기반 LLM 및 비디오 분석 프로젝트를 경험하며 귀중한 실전 경험을 쌓았습니다.
지금은 국내 Top3 대기업 중 한 곳에서 LLM 프로젝트 개발 및 PM으로 일하며, AI 기술이 우리 삶에 가져올 긍정적인 변화들을 만들어가는 데 기여하고 있습니다. 제가 겪었던 고민과 해결의 과정, 그리고 현장에서 얻은 생생한 노하우들을 여러분께 아낌없이 전달해 드리겠습니다. AI라는 흥미로운 세계로의 여정에 든든한 길잡이가 되어 드릴게요.
All
25 lectures ∙ (4hr 56min)
Limited time deal
$29,700.00
40%
$38.50
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