You explained it well, summarizing only the main points.

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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