Categorical Data Encoding Techniques Explained

To analyze categorical data, we need to convert them into numerical format. In this article, we will discuss different encoding techniques for converting categorical data into numeric format. How to Convert Categorical Data into Numerical Data? You can use the following encoding techniques to convert categorical into numeric data.  Let us discuss all the categorical…

Implement Apriori Algorithm in Python

We use different algorithms to perform market basket analysis in data mining. For this, we use the apriori algorithm, fp-growth algorithm, and the ECLAT algorithm to find frequent item sets and association rules. This article will discuss how to implement the apriori algorithm in Python. How to Implement Apriori Algorithm in Python? To implement the…

ECLAT Algorithm Numerical Example

We use different algorithms in market basket analysis to find frequent itemsets. In this article, we will discuss the Equivalence Class Clustering and bottom-up Lattice Traversal (ECLAT) algorithm. Here, we will discuss the basics of the Eclat algorithm with a numerical example. We will also discuss the advantages and disadvantages of the ECLAT algorithm over…

Linear Regression vs Logistic Regression in Machine Learning

Linear regression and logistic regression are two of the simplest machine learning algorithms. This article discusses linear regression vs logistic regression with examples to find the similarities and differences between the two algorithms. Linear Regression vs Logistic Regression in Machine Learning Before getting into the details, let us first look at a summary of linear…

Classification vs Regression in Machine Learning

We use classification and regression algorithms for supervised learning tasks in machine learning. We use both these algorithms to predict a class or a target value for a new data point if we are given labeled training data. This article discusses classification vs regression including their objective functions to analyze how similar or different these…

Clustering vs Classification Explained With Examples

We use classification and clustering algorithms in machine learning for supervised and unsupervised tasks respectively. In this article, we will discuss clustering vs classification in machine learning to discuss the similarities and differences between the two tasks using examples. What is Clustering in Machine Learning? Clustering is an unsupervised machine-learning task. In clustering, we try…

FP Growth Algorithm Explained With Numerical Example

The FP Growth algorithm is a frequent pattern mining algorithm used in market basket analysis. This article discusses the FP growth algorithm with a step-by-step numerical example. What is the FP Growth Algorithm? Like the apriori algorithm, the FP-Growth algorithm is also used for frequent pattern mining. The FP-Growth or Frequent Pattern Growth algorithm is…