Python Machine Learning

Start 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 programming them .

Learning machine learning, which is considered one of the innovations that will drastically change our lives , has the following advantages :

1.    Rather than relying on shaky decisions based on feelings , 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 job field 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 a rapidly growing market, learning machine learning now can give you a unique competitive edge .  

Sometimes , some people hesitate to learn machine learning because they think it is a field that only experts deal with . It is not difficult at all with Maso Campus' <Python Machine Learning> course ! From the concept of machine learning to various case studies and practical training , even liberal arts students and machine learning beginners can easily learn it right away . Take Python Machine Learning and become a talent sought after by all companies in the world !

 

🔑 Recommended for these people

- People interested in cutting-edge technologies that will lead the future

- People who want to solve complex analysis and prediction using machine learning

- Those who dream of career development and job change through Python Master

- People 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 lecture .

 

1.   Master data analysis and visualization with Python core packages !

Before getting started with machine learning , we will review Python's main data analysis packages, Numpy and Pandas , to enable complex data analysis . In addition , we will utilize Matplotlib and Seaborn to visualize data according to data characteristics and analysis goals .

 

2.   From the concept step by step ! Building the basics of machine learning

We will organize the core of machine learning types such as supervised learning , unsupervised learning , and reinforcement learning and help you understand them completely through examples . By fully learning the types and concepts of machine learning, you will be able to understand machine learning before you start in earnest .

 

3.   Upgrade your practical skills with real-world examples and scikit-learn practice !

Through real-world cases and scikit-learn exercises, you can understand the core of algorithms mainly used in practice and perform preprocessing of health diagnosis data , housing price prediction , and classification of wine data sets . You can improve your practical utilization and application skills through hands-on practice rather than simple spoon-fed education .

 

4.   The prejudice that it will be difficult is NO! Even machine learning that seemed difficult is OK with step-by-step learning!

If you take this course , the prejudice that machine learning is difficult and complicated will disappear . From the concept of machine learning to practical projects, you will learn the core of machine learning step by step, and anyone will be able to use machine learning tools with just a desktop PC !

 

Masocampus' < Python Machine Learning > is not a difficult or impractical lecture !
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 according to data characteristics and analysis goals by reviewing data visualization packages.

-        Developing data-driven decision-making capabilities through machine learning

-        Gain the ability to transition into SuperJobs that exceed your job capabilities

 

If you take the < Python Machine Learning > course , you can overcome the limitations you thought you had and be reborn as a talent tailored to the AI era . Don't miss the opportunity to become the talent that all companies want !

 

📚 What you will learn

 

💬 Expected Questions Q&A

Before taking the course , prepare at least 3 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 am a beginner who doesn't even know the ' P ' in 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 and step-by-step learning of the previous course. 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 < Introduction to Python > and < Python Practice > courses at Maso Campus !

Q. I am a liberal arts student who seems unfamiliar with machine learning . Is it okay for me to take the course simply out of curiosity ?
A. Of course ! Anyone who has the will to learn about machine learning can take the course . Even if your current job seems unrelated to machine learning, machine learning will now become deeply embedded in our daily lives . In addition , machine learning is being used in a wide variety of fields , even if we do not 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 other places ?
A. Masocampus' < Python Machine Learning > course is a course that will greatly increase work efficiency in the field . It is not simply for the purpose of imparting knowledge , but is structured to include real-world cases and exercises so that you can use it in the field. If you want to take 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 lecture, it would be a good idea to prepare a dual monitor or an extra device that can separate the lecture and practice screens . Also, since the hands-on training will be conducted on a Windows OS , we recommend taking the lecture in 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.