Feature Scaling
What is Feature Scaling Feature Scaling is a preprocessing step in Machine Learning that involves transforming the features of your dataset onto a similar scale. The primary purpose of Feature…
Posted inExploratory Data Analysis
Different types of Encoding
Encoding is a technique of converting categorical variables into numerical values so that it could be easily fitted to a machine learning model. Before getting into the details, let's understand…
Posted inExploratory Data Analysis
Handling Numerical Data using StandardScaler
In real life, values in a dataset might have a variety of different magnitudes, ranges, or scales. Algorithms that use distance as a parameter may not weigh all these in…
Posted inExploratory Data Analysis
Categorical Encoding using One-Hot Encoding
Handling Categorical Data - One-Hot Encoding In label encoding, categorical data is converted to numerical data, and the values are assigned labels (such as 1, 2, and 3). But there…
Posted inExploratory Data Analysis
Data Transformation
Data Transformation Data Transformation is the technique of converting data from one format to another. Data Transformation can be divided into following steps. Each of these steps will be applied…
Posted inExploratory Data Analysis
Categorical Encoding using Label Encoding
Handling Categorical Data -- Label Encoding Usually in Machine learning we encounter data which have multiple labels in one or multiple columns. These labels can be characters or numeric form.…
Posted inExploratory Data Analysis
Data Integration
Data Integration Data Integration is a technique of integrating the data which resides in different sources. The goal is to provide the users with a holistic view of the data.…
Posted inExploratory Data Analysis
outlier detection
Outliers Another problem that we often face in data are the outliers. They are the one-off values which always stand out from the population. They may be very large or…
Posted inExploratory Data Analysis
Multicollinearity using VIF
Introduction Collinearity is a condition in the data where we have 2 features which are heavily correlated with each other. In such situations, we could check the Collinearity using a…
Posted inExploratory Data Analysis
Exploratory Data Analysis for Univariate, Bivarite and Multivariate data
Introduction In this post we will discuss about Exploratory Data Analysis and how we use it to analyze Univariate, Bivariate and Multivariate data sets. Exploratory Data Analysis involves initial investigation of the…