[Non-majors welcome] Optuna with MLFlow using Kaggle data - KaggleDajigi
Learn various methodologies such as machine learning hyperparameters (Grid Search, Random Search, Optuna). Learn the basic concepts of MLOps and MLFlow.
35 learners
Level Basic
Course period Unlimited
What you will gain after the course
MLFlow
Machine Learning
Hyperparameter tuning
Optuna
Data analysis and machine learning from the very beginning!
Easy and fun with Kaggle, loved worldwide 💌
Machine Learning Beginner, Level Up!
Kaggle Digging Project.
What is Kaggle?
It is a programming competition recognized domestically and internationally.
This introductory course is designed for machine learning beginners. It's designed for non-majors, job seekers, and beginners with no prior machine learning experience or just beginning to learn. It covers everything from Python to advanced techniques used in Kaggle competitions, the world's largest data analysis platform.
Learn this!
- ✅ Classification and Regression
- ✅ Grid Search & Random Search
- ✅ Optuna
- ✅ Machine Learning Pipeline
- ✅ MLFlow
The objective of this lecture is
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- This course covers the fundamentals of machine learning using Kaggle competition data .
- The main purpose of this lecture is to introduce the latest trends in hyperparameter tuning, from the seemingly difficult techniques to MLOps .
- Learn how to continuously share what you've learned with others by learning how to create a GitHub blog .
Why Kaggle? 😮
You can work with massive amounts of big data collected from actual corporate transactions , not data processed for educational purposes.
You can get high-quality data from a variety of experienced and skilled data scientists who have published their algorithms in competitions.
During the competition period, various new data analysis methods are created and data analysis trends are formed.
Job postings on job portal sites (Saramin, Job Korea) often give preference to Kaggle-related experience .
With data analysts from around the world
You can think about the problem!
What you'll learn in this course 🥕
- ✅ Setting up a Python development environment
- ✅ Python data analysis, statistical analysis, and machine learning
- ✅ How to learn NumPy, Pandas, Matplotlib, Scikit-Learn, and more on Kaggle and how to participate in competitions
- ✅ Various Hyperparameter Tuning Techniques
- ✅ How to create a development blog
The unique structure and features of this course
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📢 This is a practice-oriented course for beginners.
- The course consists of 5% theory and 95% practical training . This course is tailored for those who struggle with coding, rather than focusing solely on theory.
- When looking at the main reference links, if you are not familiar with English, please use Google Translate or Papago :)
New to Python & Machine Learning ?
Before taking this course, if you are new to Python and machine learning, we recommend that you first take the prerequisite course, "Python Data Analysis for Beginners - Kaggle Beginners: Easy Beginners Even with Zero Base."
Direct lecture from the author!
Good books to read together 📖
From Python to Portfolio and Job Hunting: Unlocking Kaggle with Python (*Author's Direct Lecture)
This textbook is a guide to quickly challenge yourself on Kaggle after learning simple theories and principles of data analysis.
We introduce various stories of ups and downs that you will experience while challenging yourself on Kaggle, and also include how to use Github to store your job portfolio, which is as important as challenging yourself on Kaggle, and how to create a Github blog .
This textbook will serve as a guide for anyone aspiring to become a data analyst.
*Purchase of textbooks is not required.
- 👉 Paper book purchase link - http://www.yes24.com/Product/Goods/103319176
- 👉 E-book purchase link - http://yes24.com/Goods/Detail/103429079
Beta Reader Reviews &
Course Review 💬
📢 Please check before taking the class!
- Due to the recording conditions, the audio quality may be uneven. Please be sure to preview the video and audio before attending the lecture.
Recommended for
these people
Who is this course right for?
Data Analysis Beginner
People interested in Kaggle
Need to know before starting?
Python Basics
Introduction to Kaggle
131
Learners
14
Reviews
18
Answers
4.4
Rating
1
Course
Hello,
I am Evan, currently pursuing a doctoral degree at Kookmin University's Graduate School of Business IT. I make a living by providing lectures to sincerely help job seekers find employment, as well as conducting analysis-related training for professionals in R, Python, SQL, Excel, and Tableau. It has been three full years now since I began with short-term lectures at the Ministry of National Defense, Army Headquarters, and Hana Financial Group, and I have since conducted lectures at various institutions such as the Korea IT Business Association, Korea Management Association, Korea Software Technology Association, and Sahmyook University. Since 2023, in addition to these organizations, I have also been leading long-term training programs for job seekers at Multicampus.
Curriculum
All
22 lectures ∙ (9hr 19min)
Course Materials: