FP growth algorithm is an improved version of the apriori algorithm. FP growth algorithm is used for finding frequent itemset[…]

Read more# Category: Machine Learning

## Back to School II: Analyzing and predicting grades students’ grades

We just finished preparing our dataset for analysis. In this tutorial, we will look at how different classification algorithms perform[…]

Read more## Back to School I: Reading and pre-processing the student dataset

Read student-mat.csv using Pandas and changing the string values to numerical values Program to change input file to required format[…]

Read more## Associative rule mining with Apriori algorithm

Apriori is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying[…]

Read more## Principal Component Analysis

Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of[…]

Read more## Participating in a Kaggle contest using Titanic dataset

## Naive Bayes classification algorithm

Dataset – ID Name Gender Height Class 1 A F 1.6 short 2 B M 2 tall 3 C F[…]

Read more## Classifying a dataset with a decision tree with ID3 algorithm

In this tutorial, we will create a decision tree to classify data. But before we dive down to how to[…]

Read more## Implement K-means clustering algorithm using Python and Scikit-learn

In this tutorial, we implement the k-means clustering algorithm using Python and also using Scikit-learn. What is k-means? Read K-means[…]

Read more## Visualizing datasets with Seaborn and Pandas in Python

Game of Thrones Bivariate Flights Pokemon

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