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…

0 comments on “MachineX: Choosing Support Vector Machine over other classifiers”

MachineX: Choosing Support Vector Machine over other classifiers


When one has to select the best classifier from all the good options, often he would be on the horns of a dilemma. Decision tree/Random Forest, ANN, KNN, Logistic regression etc. are some options that often used for the choice…

1 comment on “What is Deep Learning??”

What is Deep Learning??


This term “Deep Learning”, is on fire for past two decades. Every machine learning enthusiast wants to work on it and many big companies are already making an impact on Data Science field by exploring it e.g. Google Brain project from…

1 comment on “MachineX: One more step towards NAIVE BAYES”

MachineX: One more step towards NAIVE BAYES


I hope we understand the conditional probabilities and Bayes theorem through our previous blog. Now let’s use this understanding to find out more about the naive Bayes classifier. NAIVE BAYES CLASSIFIER Naive Bayes is a simple technique for constructing classifiers: models…

2 comments on “MachineX: Unfolding Mystery Behind NAIVE BAYES CLASSIFIER”

MachineX: Unfolding Mystery Behind NAIVE BAYES CLASSIFIER


In machine learning, Naive Bayes classifiers are a family of simple "probabilistic classifiers "based on applying Bayes' theorem with strong (naive) independence assumptions between the features. The Naive Bayes Classifier technique is based on the so-called Bayesian theorem and is particularly suited when the dimensionality of the…

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…