▶ The lecture, which was recognized by leading universities/large companies, is now available online at Class 101.

The probability that our new customers will become VIPs

How can we know from data?

Customer A, who used our service for the first time today, can we know the probability that this customer will become a VIP?

Machine learning can be used to classify data, make predictions, and obtain the results. If we have a well-built machine learning platform unique to our company, we can predict the result value just by entering data there.

Here, machine learning (machine learning) refers to the process by which a computer learns a large amount of data to derive rules and formulas. There are many attempts to apply machine learning to practice, such as learning countless amounts of data from computers to find new insights or building artificial intelligence services.

Machine learning

Isn't this an area just for experts?

Definitely not. We apply machine learning data analysis regardless of job or job group, such as HR, marketing, planning, strategy, etc., to discover insights and use them in practice.

We can use machine learning to answer questions such as:

1. Can a new customer become a VIP? What are the chances of becoming one?
2. Can cell image data be used to classify cancer incidence?
3. Can the defect rate be predicted in the manufacturing process?
4. Can we prevent customers from leaving without using our services?

Machine learning analysis is no longer just a “field for experts”!

This is an opportunity to add strength to my arguments and opinions with objective results and level up my career by equipping myself with skills that are different from others.

In what situation

What algorithms should be applied?

In practice, various machine learning algorithms are used according to different situations. It is also important to have a deep understanding of each machine learning algorithm, More importantly, 'What algorithm should be applied to what situation? ' It's. Therefore, in this class, we will use practical data to reproduce various business situations and apply machine learning techniques.

Case 1. Classification of cancer incidence using cell image data

Case 2. Preventing customer abandonment using customer contract data

Case 3. Predicting defect rates to optimize operating conditions in manufacturing processes

Case 4. Calculating VIP odds for new customers

Learn all the processes of machine learning analysis by laying the basics of machine learning algorithms, implementing them through practical exercises. In the future, we Design the process yourself when applying machine learning to workYou can do it, and you can directly make the decision “in this situation, a specific technique should be applied to this data.”

With Iris data

Have you been learning machine learning?

The purpose of this class is to go beyond understanding 'machine learning' and apply machine learning to practice. Therefore, instead of data that is far from practice, we use purchasing/medical/manufacturing/customer data to directly carry out projects and combine theory and practice.

Based on the domain insights gained from working as a data analysis consultant, we will develop the ability to directly solve problems that you may encounter in practice.

An essential step to successfully implement machine learning,

Data cleansing

If you ask a computer to learn data that is not clean, the computer will not be able to accept it properly. whereupon The prerequisite process is to clean up the data so that students can learn wellIt can be said that. It's like choosing a good textbook to study well!

I will show you in detail the process of neatly refining practical data in order for the computer to perform learning well.

Machine learning data analysis

Even building a web platform!

After using machine learning techniques using actual data, we should apply it to see if it can predict and classify other data when it comes in, right?

After using machine learning techniques, we will implement a simple web page to predict what will happen when new data comes in. Build your own data analysis web platform by adding visualization so that you can intuitively show results!

Ability to analyze data

It will be your sure-fire weapon.

▶ Student reviews

To this class [Data cleansing - model selection - training - evaluation - later application] You can do it all at once, and you can quickly and easily use machine learning in practice.