Feature Scaling in Machine Learning
Feature Scaling in Machine Learning Introduction Feature scaling is a crucial step in the data preprocessing stage of machine learning. It ensures that all numerical features in the dataset have….
Tag: Log Transformation
Box Plots and Histograms
Box Plots and Histograms: A Comprehensive Guide Introduction Box plots and histograms are essential tools in Exploratory Data Analysis (EDA). They help visualize the distribution, spread, central tendency, and outliers….
Univariate Analysis
Univariate Analysis: A Comprehensive Guide Introduction Univariate Analysis is the simplest form of data analysis, where we analyze one variable at a time. The goal is to understand the distribution,….
Feature Engineering
Feature Engineering: A Comprehensive Guide Introduction Feature engineering is the process of transforming raw data into meaningful features that improve the performance of machine learning models. It involves selecting, creating,….
Outlier Detection and Treatment
Outlier Detection and Treatment: A Comprehensive Guide Outliers are data points that significantly deviate from the rest of the dataset. They can arise due to various reasons such as errors….