0 comments on “MachineX: Total Support Tree for Association Rule Generation”

MachineX: Total Support Tree for Association Rule Generation


In our previous blogs on Association Rule Learning, we have seen the FP-Tree and the FP-Growth algorithm. We also generated the frequent itemsets using FP-Growth. But a problem arises when we try to mine the association rules out of these…

1 comment on “MachineX: Frequent Itemset generation with the FP-Growth algorithm”

MachineX: Frequent Itemset generation with the FP-Growth algorithm


In our previous blog, MachineX: Understanding FP-Tree construction, we discussed the FP-Tree and its construction. In this blog, we will be discussing the FP-Growth algorithm, which uses FP-Tree to extract frequent itemsets in the given dataset. FP-growth is an algorithm…

1 comment on “MachineX: Understanding FP-Tree construction”

MachineX: Understanding FP-Tree construction


In my previous blog, MachineX: Why no one uses apriori algorithm for association rule learning?, we discussed one of the first algorithms in association rule learning, apriori algorithm. Although even after being so simple and clear, it has some weaknesses…

1 comment on “MachineX: Why no one uses apriori algorithm for association rule learning?”

MachineX: Why no one uses apriori algorithm for association rule learning?


In my previous blog, MachineX: Two parts of Association Rule Learning, we discussed that there are two parts in performing association rule learning, namely, frequent itemset generation and rule generation. In this blog, we are going to talk about one…

2 comments on “MachineX: Two parts of Association Rule Learning”

MachineX: Two parts of Association Rule Learning


In our previous blog, MachineX: Layman guide to Association Rule Learning, we discussed what Association rule learning is all about. And as you can already tell, with a large dataset, which almost every market has, finding association rules isn't very…

1 comment on “MachineX: Improve accuracy of your ML models before even writing them”

MachineX: Improve accuracy of your ML models before even writing them


Every machine learning practitioner will agree with me when I say that one of the most important part of machine learning is preparing data for machine learning. It certainly requires some experience to properly and effectively prepare data for machine…

4 comments on “MachineX: Layman guide to Association Rule Learning”

MachineX: Layman guide to Association Rule Learning


Association rule learning is one of the most common techniques in data mining and as well as machine learning. The most common use, which I'm sure you all must be aware of, is the recommendation systems used by various e-shops…

1 comment on “Introduction to AWS DynamoDB”

Introduction to AWS DynamoDB


DynamoDB is a database service provided by Amazon.¬†Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use it to store and retrieve any amount of data without worrying about¬†hardware…

2 comments on “Getting started with TensorFlow: Writing your first program”

Getting started with TensorFlow: Writing your first program


In my previous blog , we saw what Tensorflow is and some of it's terminologies. In this blog, we are going to go ahead and implement a very basic program in TensorFlow using Python to see it in action. To…

6 comments on “Getting started with TensorFlow: A Brief Introduction”

Getting started with TensorFlow: A Brief Introduction


TensorFlow is an open source software library, provided by Google, mainly for deep learning, machine learning and numerical computation using data flow graphs. Looking at their website, the first definition they have written for TensorFlow goes something like this -…