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

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8 chapters
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Skills You’ll Learn

Let's work together on machine learning model development from A to Z

Practical machine learning model development project from defining business issues to reporting results

Defining a business problem

[STEP 1] The process of defining business challenges in various domains

Machine learning model structure design

[STEP 2] Designing the overall structure and process of a machine learning model

Data preprocessing and visualization

[STEP 3] Data preprocessing and visualization method using Python

Model development and deployment

[STEP 4] Appropriate machine learning model development, testing, and deployment process

Results reporting and dashboard operation

[STEP 5] Report results to relevant departments and run model/dashboard processes

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.

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.”

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.

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

무엇을 배우나요?_비즈니스 문제 정의, 머신러닝 모델, 데이터 전처리/시각화, 지표 선택, 모델 개발, 운영 배포, 대시보드 운영

▶ 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.


1 ️ First.

Data-driven

Business problem solving skills

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

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.

Class Kit · Coaching Session

💌 1:1 coaching taught directly by a friendly rabbit

  • You can ask 2 questions per coaching ticket.
  • We will write an answer of around 300 characters per question and send it to you.
  • A coaching ticket is a system that helps you with questions if you have a difficult part while listening to a lecture.


1 ️ Career consulting on job turnover and employment

  1. Please ask questions including your major, domain of interest, and current status (career information such as school/company, what you have studied, what you are confident in, what field you want, etc.)
  2. Based on the above information, I will respond by thinking about what kind of preparations should be made in the future and from what perspective.

2 ️ Portfolio feedback

  1. Please ask questions including your major, domain of interest, current status (school/company career information, what you have studied, fields you are confident in, desired fields, etc.), job postings you wish to apply for, your resume, portfolio sites or documents.
  2. I've given quite a bit of portfolio feedback, and I think getting feedback from an objective third party perspective would definitely be very helpful. In addition to portfolio feedback, I will also answer questions about what points of view and from what perspective it would be nice to fill in.

3 ️ Questions about what's included in the class

  1. If you have any further questions about what's included in the class or the code, or if you need code feedback, please ask questions.



  • In addition to this, if you personally want 1:1 coaching, we will help you to the extent that we can deliver answers.
  • Coaching answers are based on the date questions are received, and answers are provided sequentially. Responses can take up to 1 week.
  • The coaching ticket can be used for 20 weeks from the date of purchase.
  • If not used within the period, no refund will be given.


📌 For inquiries about product defects or incorrect delivery, please contact the Class 101 Customer Service Center.

📩 The kit is subject to some changes, and we will be fully informed if there are any changes.

Curriculum

Creator

Friendly Rabbit

Friendly Rabbit

Hello, this is a kind rabbit. I entered this field because I was interested in the process of thinking logically and developing opinions based on data!

In the meantime, I've been attending various companies and experiencing various business and development environments. In this process, I was able to learn about commonly needed processes, and I created this course to help people who are interested in this field but find it difficult to get into a big deal! :)

From '18 until recently (July '22), I've been working on analyzing data and developing and operating machine learning models with my elegant brothers, and I'm currently moving to a Series B level startup to make the same work fun!

인터뷰

인터뷰

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