[Revised Edition] The Complete Guide to Python Machine Learning

hello,

To celebrate the launch of my Pytorch courses and to welcome the new spring, I am offering a 30% discount on all my courses for two weeks, from today (April 2nd) until April 15th.

Thanks to the hard work of the Inflearn marketing team, we have created a separate event page below, so please refer to it.

https://inf.run/U58ia

And we have reorganized the existing Deep Learning Computer Vision Complete Guide and the newly released Deep Learning CNN Complete Guide - Pytorch version into a new roadmap. If you are interested, please visit the roadmap page below, and a special discount is being applied to the roadmap for only two weeks.

https://inf.run/8yzaQ

thank you

hello,

The system configuration was completed ahead of schedule, and we have just opened a new lecture, ' Deep Learning CNN Complete Guide - Pytorch Version' .

We have been preparing this course for a long time. With improved content from the previous TFKeras version, this course will teach you step-by-step from the principles of CNN to practice based on PyTorch, and you will be able to build practical skills that can be applied immediately in real-world projects.

A more detailed introduction to the lecture is included in the URL below.

Course introduction page: https://www.inflearn.com/course/%EB%94%A5%EB%9F%AC%EB%8B%9D-cnn-%EC%99%84%EB%B2%BD%EA%B0%80%EC%9D%B4%EB%93%9C-%ED%8C%8C%EC%9D%B4%ED%86%A0%EC%B9%98

If you are interested in Pytorch, you will not regret choosing this Deep Learning CNN Complete Guide - Pytorch course. You will be able to completely master CNN as well as Pytorch from the basics to advanced levels through this course.

thank you

Hello students, this is Kwon Chul-min.

I have recently released a new course titled 'FastAPI Complete Guide'. I am posting a brief introduction to the course to help those of you who are interested in FastAPI.

'FastAPI Complete Guide' consists of various examples and abundant practical projects to enable systematic learning from the core components of FastAPI to advanced functions.

In addition, it covers not only FastAPI itself, but also the entire process of developing a web service using FastAPI. Through this, you will be able to develop skills to the point where you can immediately apply FastAPI to real-world projects.

You can find more detailed lecture information at the URL below.

https://www.inflearn.com/course/fastapi-%EC%99%84%EB%B2%BD-%EA%B0%80%EC%9D%B4%EB%93%9C

We put a lot of time and effort into making this course for FastAPI so that you won't regret it.

I hope that everyone will have a happy and precious time during the upcoming Chuseok holiday. I bow to all the students who love my lectures in advance to give Chuseok greetings.

thank you

Hello, students.

This time, I opened a new lecture titled “The Complete Kafka Guide - Connect” .

This is the second lecture in the Kafka series following the Complete Guide to Kafka - Core.

This course covers Kafka Connect in a detailed and practical manner that you have never encountered in any other course or book. Through detailed explanations of the mechanisms of the core components of Kafka Connect and many practical examples that cover various data linkages and operational management using Connect, we will help you grow into a Kafka Connect expert needed in the field .

2022 is almost here. Thank you so much to everyone who listens to my lectures and loves me.

I hope you finish off 2022 well, which is just around the corner, and that 2023 will be a year in which all your wishes come true and you will have no worries or concerns.

thank you

Hello, students.

This time, I have released a new lecture titled 'Kafka Complete Guide - Core'.

Kafka has become an indispensable choice for collecting large amounts of streaming data, building large-scale data pipelines, and building event-driven microservice architectures (MSAs).

For this reason, many companies have been rushing to adopt Kafka in recent years, and the demand for specialized personnel is also continuously increasing.

The 'Kafka Complete Guide - Core' course covers everything from the core of Kafka to advanced content on its internal mechanisms, and is structured so that even beginners to Kafka can quickly reach an expert level through detailed theoretical explanations, hands-on practice, and practical Kafka application development practice.

This course will quench your thirst for Kafka technology and teach you everything from the essential elements required for operating and developing Kafka to advanced core mechanisms .

A more detailed lecture introduction is provided in the URL below.

Kafka Complete Guide - Go straight to the core

These days, the heat of the hot summer has subsided. I hope everyone enjoys the end of summer to the fullest on Friday.

To all the students who love my lectures, I am always grateful. ^^

Hello, this is Kwon Chul-min.

This time, I have released a course titled ' SQL Data Analysis through Various Case Studies '.

This course is designed to help you improve your SQL skills and practical analysis capabilities at the same time.

In addition to domain-related content such as sales analysis and order analysis, it is designed to improve both analytical capabilities and SQL skills by implementing various analytical indicators used in Google Analytics and growth hacking fields through difficult SQL.

Unfortunately, this lecture is for those who have taken the ' Data Analysis SQL Fundamentals ' lecture. For those who have not taken the prerequisite lecture, please refer to the prerequisite course contents in the introduction of the 'Learn SQL Data Analysis with Various Cases' lecture and select the lecture.

It's a great day to take a walk and enjoy the May sunshine. Stay healthy and have a great May Golden Week.

thank you

Hello, students who love my lectures.

I'm releasing a new course called 'Data Analysis SQL Fundamentals', so I'll give you a brief introduction.

In the field of data analysis, I have been thinking about how to improve both data analysis and SQL skills at the same time for a long time (and that is why I am losing a lot of hair...).

In order to catch these two rabbits, we plan to release two series of lectures that will continuously improve your skills by implementing various types of practical data analysis indicators and various analysis requirements desired in the field using SQL.

Firstly, the 'Data Analysis SQL Fundamentals' course being released this time is designed to help you solidify your SQL capabilities through detailed explanations of the basic mechanisms that make up SQL and various practical exercises.

In particular, we will explain Analytic SQL (Window Function), a core SQL weapon for data analysis, in detail from A to Z, so that you can have solid confidence in Analytic SQL wherever you are.

I created this course so that it can be a valuable time for you to improve your SQL skills. Questions are always welcome and I hope to see you in class.

These days, I look forward to the warm spring sunshine as soon as possible. I hope you all have a wonderful spring day.

Well then, I'll quickly disappear to finish the lecture 'SQL Data Analysis with Various Case Studies' that will be released soon.

thank you

hello,

This time, I have released a new lecture titled 'Spark Machine Learning Complete Guide - Part 1'.

'Spark Machine Learning Complete Guide - Part 1' goes beyond learning how to implement machine learning models in Apache Spark, the powerhouse of open source large-scale distributed processing solutions, and aims to help students grow into machine learning experts who are also skilled in data processing and analysis.

This lecture will provide detailed theoretical explanations and abundant practical training on various elements that make up the Spark Machine Learning Framework, such as DataFrame, SQL, Estimator, Transformer, Pipeline, and Evaluator, as well as learning in detail how to process/analyze data based on SQL, how to derive analysis elements based on business domain, and how to create a model using this Feature Engineering technique through practical training on Kaggle's Instacart Market Basket Analysis competition.

We have put a lot of effort into creating this course to be of great help to those who want to grow into true machine learning experts based on large amounts of data.

Go to lecture introduction

2021 is almost over. I hope you finish all the things you planned for this year and that all your wishes come true in 2022.

thank you