
통계 분석 마스터 클래스
Masocampus
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통계
A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.
Data analysis and data visualization through organizing Python core packages
Understanding the concepts and differences between supervised learning, unsupervised learning, and reinforcement learning in machine learning
Understanding and organizing the framework for Python machine learning package scikit-learn
Understanding the core of algorithms through real-world cases and scikit-learn practice
Get started with machine learning with Scikit-Learn!
We will improve your work efficiency.
What is machine learning ?
Have you ever received recommendations for products you might like on an online shopping website?
This is an example of marketing using machine learning !
So what is machine learning?
Machine learning means that computers can make predictions on their own without a human explicitly creating the program .
Learning machine learning , which is considered one of the innovations that will drastically change our lives, has the following advantages :
1. Instead of relying on intuition for shaky decision-making , you can create a data-driven future prediction model with groundbreaking performance .
2. You can gain the ability to break free from the limitations of your existing work area and transition to Superjobs .
3. Complex analyses and predictions, such as stock price prediction , real estate prediction , sales prediction , and customer classification, can be solved with the help of machine learning .
4. In this rapidly growing market, learning machine learning now can give you a unique competitive edge .
Some people hesitate to learn machine learning , believing it's a field only experts can handle . With Maso Campus ' " Python Machine Learning " course, it 's not difficult at all ! From machine learning concepts to various case studies and hands-on exercises , even liberal arts students and machine learning beginners can easily master it in no time . Take this Python Machine Learning course and become a sought-after talent by companies all over the world !
🔑 Recommended for these people
- People interested in cutting-edge technologies that will lead the future
- Those who want to solve complex analysis and prediction problems using machine learning.
- Those who dream of career development and job change through Python Master
- Those who want to analyze data in various ways and predict the future based on this.
- For those who want to learn Python in a hands-on, practical way that they can use right away.
✨ Course Features
Do you want to make successful decisions by intelligently clearing complex analyses and predictions ?
For those of you, we have prepared machine learning training !
Machine learning is often misunderstood as being the domain of experts , but even students who know nothing about machine learning can easily use machine learning tools through this course .
1. Master data analysis and visualization with Python's core packages !
Before diving into machine learning , we'll review Numpy and Pandas , Python's core data analysis packages , to enable you to perform complex data analysis . We'll also leverage Matplotlib and Seaborn to visualize your data based on its characteristics and analysis objectives .
2. From the ground up ! Building the foundations of machine learning.
This book will help you understand the core concepts of supervised learning , unsupervised learning , and reinforcement learning, using examples . By thoroughly mastering the types and concepts of machine learning, you will be able to understand it before diving into the real world .
3. Upgrade your practical skills with real-world examples and scikit-learn exercises !
Through real-world examples and scikit-learn exercises, you'll understand the core algorithms commonly used in practice. You'll be able to preprocess health diagnosis data , predict housing prices , and classify wine datasets . Beyond simple rote learning, you'll enhance your practical application and skills through hands-on, hands-on training .
4. Say no to the preconception that machine learning is difficult! Step-by-step learning makes even seemingly difficult machine learning OK!
By taking this course , you'll dispel the myth that machine learning is difficult and complex . From concepts to practical projects, you'll delve into the core of machine learning step by step, enabling anyone to use machine learning tools with just a desktop PC !
Maso Campus' < Python Machine Learning > is not a difficult or impractical course !
In the era of AI , leave complex analysis and prediction to machine learning and increase work efficiency !
📜 After listening to Python Machine Learning
If you take Maso Campus ' < Python Machine Learning > course , you can easily apply machine learning, which seemed difficult, to your work .
- Improve your ability to conduct complex data analysis by reviewing data analysis packages.
- Improve your data visualization skills based on data characteristics and analysis goals by reviewing data visualization packages.
- Developing data-driven decision-making skills through machine learning
- Gain the ability to transition into SuperJobs that exceed your work capabilities.
By taking the Python Machine Learning course , you can overcome your limitations and become a talent tailored for the AI era . Don't miss this opportunity to become the talent every company wants !
📚 What you'll learn
💬 Expected Questions Q&A
Before attending the lecture , prepare at least three questions and answers that students may have. Please write .
We recommend answers that reflect the personality of the knowledge sharer rather than obvious and formal answers .
Q. I'm a beginner who doesn't even know the first letter of Python . Is it okay for me to take the course ?
A. The < Python Machine Learning > course is designed for those who have taken the < Python Practice > course or have experience using data analysis packages using Python . However , it is structured so that even beginners can easily follow along with the key review of the previous course and step-by-step learning . If you are anxious because you do not have basic knowledge of Python , it will be much more helpful for your learning if you take the < Python Introduction > and < Python Practice > courses at Maso Campus !
Q. I'm a liberal arts student who doesn't seem to have any interest in machine learning . Is it okay for me to take this course simply out of curiosity ?
A. Absolutely ! Anyone with a desire to learn about machine learning can take this course . Even if your current job doesn't seem to involve machine learning, machine learning will become deeply ingrained in our daily lives . Furthermore , machine learning is being used in a wide range of fields , even if we don't realize it . Learning it will definitely help you in any job or in the future !
Q. Why should I take < Python Machine Learning > at Maso Campus instead of elsewhere ?
A. Masocampus' " Python Machine Learning " course is designed to significantly improve work efficiency . Its purpose isn't simply to impart knowledge ; it includes real-world examples and hands-on exercises designed to help you apply the knowledge in your field. If you're looking for a truly useful machine learning course, take Masocampus ' " Python Machine Learning " !
✒ Introducing the knowledge sharer ️
✔ Please check before taking the class ! ️
- Since this is a hands-on course, we recommend bringing a dual monitor or a spare device to separate the lecture and practice screens . Furthermore, since the practical training will be conducted on a Windows OS , we recommend taking the course on a Windows environment .
- Lecture notes and practice files are located in section 00 .
- The lecture audio volume was recorded somewhat low. Please be sure to check the [Preview] lecture before attending the lecture.
Who is this course right for?
Anyone interested in machine learning using Python
People who want to analyze data in various ways and predict the future based on this
Anyone who wants to solve complex analysis and predictions quickly
Anyone who wants to make efficient decisions with quickly and accurately analyzed predictions and results
Need to know before starting?
There is no limitation, but it will be easier to understand if you take this course after taking the Python introduction and practical courses.
This is recommended for those who have taken a course on Python data analysis or have experience using a data analysis package using Python.
As this is a hands-on lecture, we recommend using dual monitors or an extra device to separate the lecture and hands-on screens.
Please note that this lecture will be conducted in a practical environment based on Windows OS.
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마소캠퍼스의 진심과 소망을 담은 Actionable Content로,
2013년부터 온오프라인으로 함께해 온 누적 강의 1억시간!
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마소캠퍼스 팀은 우리의 모두의 성장을 위해 두 가지 원칙을 반드시 지킵니다.
1. 배우면 반드시 쓸 수 있는 Actionable Content
2. 참여자의 시간과 수고를 존중하는 Time-Saving Curriculum
마소캠퍼스의 Actionable and Time-Saving Curriculum으로 성장의 길을 함께 걸어나가길 기원합니다.
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80 lectures ∙ (10hr 42min)
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