Rahul Kumardata-science-notes.hashnode.dev·Dec 16, 2024Iterative Imputer V/S KNN Imputer1. Iterative Imputer How it works: Imputes missing values by modeling each feature with missing values as a function of the other features. Uses regression (e.g., linear, decision trees) to predict missing values iteratively. Repeats the process ...tabular data
Naveen Kumarnaveenkumar-nk.hashnode.dev·May 13, 2023Unlocking the Power of Data: Mastering Machine Learning Imputation Techniques with Mathematical Precision (PART 2):INTRODUCTION In Part 2 of our blog series on missing data imputation techniques, we will explore the K-Nearest Neighbors (KNN) imputation method. KNN imputation is a powerful approach for handling missing values by leveraging the concept of similarit...1 like·229 readsMachine Learning
Naveen Kumarnaveenkumar-nk.hashnode.dev·May 6, 2023Unlocking the Power of Data: Mastering Machine Learning Imputation Techniques with Mathematical PrecisionPART-1 INTRODUCTION Machine learning is an essential part of modern data science, and it involves training models on large datasets to make predictions or classify data. However, real-world datasets are often incomplete or contain missing values, whi...3 likes·160 readsMachine Learning
