유니콘 기업 비즈니스 문제 해결을 위한 머신러닝 개발

▶ Development of machine learning to solve business problems of unicorn companies

시중의 수 많은 머신러닝 강의들, 머신러닝을 완벽하게 활용 할 수 있다고 할 수 있을까요?

▶ With the many machine learning courses on the market, can you say that machine learning can be fully utilized?

No.

Just learning machine learning algorithms

It can't be applied to a business.

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Machine learning is just one tool, and you can't make 100% use of it without a complete understanding of the business. So we go with the following cycle The entire process of developing machine learning models to solve business problemsLearn.

비즈니스 문제 정의, 데이터 전처리/ 시각화, 지표를 찾아 머신러닝 모델 개발, 운영 및 배포, 대시 보드 설계 및 전사 공유

▶ Define business problems, preprocess/visualize data, find indicators, develop, operate and deploy machine learning models, design dashboards, and share across the enterprise

Hello,

Data Scientists of the Elegant Brothers

It's a “kind rabbit.”

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Currently, in the data service room of the elegant brothers, I am mainly working on analyzing data and developing machine learning models reflecting various purposes in order to maintain and improve the reliability and health of the business.

I don't want to limit myself to “data scientist = someone who develops and tests models.” Based on strategic thinking that is easy to overlook, From defining business problems to how to solve them with data, we'll help you develop competencies with a full funnel.

If you are curious about the data-based problem solving development process used in practice,

Please join me in this class!

✅ Can be used as a portfolio

Three projects

Instead of a single data set, you will practice the entire course below together with 3 analysis projects. Use this course to create your own portfolio of analysis projects.

Recommended) Movie recommendation system
E-commerce) Hotel reservation demand forecast
Finance) Credit card fraud detection

▶ What do you learn? _Business problem definition, machine learning model, data preprocessing/visualization, indicator selection, model development, operational deployment, dashboard operation

After taking this class

You can definitely take it with you

Three weapons.

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1 ️ First.

Data-driven

Business problem solving skills

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In practice, there are various business models and stakeholders, and the operating environment is also different. Instead of learning a single uniform process, you can understand options based on various business environments. 1) You can learn the full cycle of solving business problems through multiple case studies so that you can 1) have a broad perspective so that you can choose catering according to your own business, and 2) be able to respond flexibly to various businesses.

2 ️ Second.

By industry and job

Insights that penetrate the business

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Each job, and each industry/business, may have different problems to solve and the metrics to focus on monitoring. For each industry/business, we select appropriate indicators for the problems they want to solve, and develop models to improve those indicators. too We understand their different perspectives and design dashboards based on metrics that are key to each job owner. We will also consider issues that may occur after model deployment, and summarize countermeasures and decision-making processes.

3 ️ THIRD.

Machine learning model design

and development ability

We look at various machine learning models and consider technical resources, environments, and delivery methods that can be used in our current problems. We will compare input dataset sampling, compare parameters of various models, and look at how to find the most optimal model considering current resources and conditions.

이런 분들에게 추천합니다!

▶ I recommend it to people like this!

※ This class For people who know basic Python grammar The class will be conducted.

As a data scientist

I'll share all my insights generously.

In this class, machine learning is used as a tool to solve business problems. I think if you follow all 6 steps with me, you will be able to learn all the ways to solve your company's problems using machine learning based on strategic thinking.

I will generously share my insights gained as a data scientist for 7 years with all of you.

Data-based problem solving for unicorn companies, machine learning model development practice

Data-based problem solving for unicorn companies, machine learning model development practice