[Introduction and Practice of Machine Learning] A must-see series for beginners, including actual data mining projects: data fusion, feature optimization, feature dimensionality reduction, exploratory analysis, etc. The actual combat will take you to master machine learning data mining
This column is mainly to facilitate beginners to quickly grasp relevant knowledge. Disclaimer: Some projects are online classic projects for everyone to learn quickly, and practical links will be added in the future (competitions, papers, practical applications, etc.)
Column Subscription: Data Mining - Machine Learning Column
It mainly explains exploratory analysis of data: checking the correlation between variables and finding key variables; data feature engineering refines data: outlier processing, normalization processing, and feature dimensionality reduction; mainstream ML models are involved in regression model training: decision-making Trees, random forests, lightgbm, etc. At the same time, it focuses on model verification, feature optimization, model fusion, etc.