Posted inMachine Learning
End to End Machine Learning Project – Part 2
This Post is a continuation of the part 1 where we discussed about the various steps that should be kept in mind before starting a project in machine learning. To…
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
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 inStatistics
EDA using Probability Density Function and Cumulative Distribution Function
Introduction In this post, we will discuss about 2 very important topics and how it helps in Exploratory data analysis -- Probability Density Function and Cumulative Density Function. A continuous…
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…