It is good that beginners can learn concepts and information about machine learning without any burden. 

However, the practical part is not live coding, but rather explains the completed code data, so the lecture is very jumpy and difficult to understand.

97kzone

Learn the basics of machine learning step by step through various Kaggle examples, and learn vivid project experiences and practical tips from hard-to-access field machine learning engineers all at once.

aischool

Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips

AISchool

Daniel Park

입문

초급

중급이상

캐글(Kaggle)

Kaggle

Machine Learning(ML)

탐색적 자료 분석

Introduction to the course

What is machine learning? - Let's get a firm grasp on the concept of machine learning

Introducing Google Colab - a simple hands-on environment that requires no complex installation

Tools for machine learning and data analysis - numpy, pandas, matplotlib, seaborn

Introduction to scikit-learn & My first machine learning model - Predicting weight based on height

Introducing Kaggle and Kaggle Competition

Kaggle for Beginners - Who Among the Titanic Passengers Survived & Predicting Titanic Survivors with Machine Learning

Linear Regression Algorithm (Ridge, Lasso, ElasticNet) Unpacking & How Much is My Home Worth? - Let's Predict Boston Real Estate Prices

High-performance and popular all-rounder predictor - Let's predict whether it will rain tomorrow or not with Random Forest & machine learning models

Let's predict the occurrence of stroke with XGBoost & XGBoost, the algorithm favored by Kaggle winners

Practical stories from a working machine learning engineer - Experience the daily life of a machine learning engineer

DS/ML Practical Tips from a Practitioner - Become a Recognized Machine Learning Engineer