Machine Learning

機器學習

Workflow Overview

End-to-End Machine Learning・DataCamp・4 Hours Course (Intermediate)

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Preprocessing for Machine Learning in Python・DataCamp・4 Hours Course (Intermediate)

Learn how to clean and prepare your data for machine learning!

Introduction to Machine Learning

Machine Learning・StatQuest・[Playlist]

Online Course

Machine Learning for Everybody・feeCodeCamp.org・[03:53:52]
Machine Learning with Python and Scikit-Learn – Full Course with Notes and Codes・feeCodeCamp.org・[18:00:34]
Machine Learning・Hung-yi Lee・2021 Edition
機器學習 2022・李宏毅教授
機器學習 2021・李宏毅教授

To be organized

Introduction to Predictive Analytics in Python・DataCamp・4 Hours Course (Beginner)

In this course you'll learn to use and present logistic regression models for making predictions.

Intermediate Predictive Analytics in Python・DataCamp・4 Hours Course (Intermediate)

Learn how to prepare and organize your data for predictive analytics.

Cluster Analysis in Python・DataCamp・4 Hours Course (Intermediate)

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Linear Classifiers in Python・DataCamp・4 Hours Course (Intermediate)

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Unsupervised Learning in Python・DataCamp・4 Hours Course (Intermediate)

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Extreme Gradient Boosting with XGBoost・DataCamp・4 Hours Course (Intermediate)

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Supervised Learning with scikit-learn・DataCamp・4 Hours Course (Intermediate)

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

Machine Learning for Time Series Data in Python・DataCamp・4 Hours Course (Intermediate)

This course focuses on feature engineering and machine learning for time series data.

Machine Learning with Tree-Based Models in Python・DataCamp・5 Hours Course (Intermediate)

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

U・DataCamp・4 Hours Course (Intermediate)

Feature Engineering for Machine Learning in Python・DataCamp・4 Hours Course (Intermediate)

Create new features to improve the performance of your Machine Learning models.

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