About this document
Data Analysis Techniques and Concepts by barikkanha8093 is a document available to read on EtoBox.
The document discusses the importance of missing value treatment in data modeling, explaining that it can introduce bias and affect model performance. It defines outliers, exploratory data analysis (EDA), and various types of analysis (univariate, bivariate, multivariate), along with steps for data cleaning and methods for handling missing data. Additionally, it mentions various plots for analyzing relationships between variables and briefly touches on concepts like decision trees, clustering, and heatmaps.
- Author
- barikkanha8093
- Language
- EN