my binus blog

Today we learnt about Classification Evaluation techniques and how to calculate them.

We also learnt that we need to implement that technique in our final project

Finally we also learnt about classification technique known as naive bayes classification

We finally did the exercise about naive bayes classification to further experience how it is done.

we learnt about decision tree that. we learn that to make decision tree requires calculation from a formula. After that, we had a quiz to prepare ourselves for our mid term exam.

we learnt about apriori algorithm in class, which is still an unsupervised learning. we learnt that apriori is used for market system to find the best support for decision making.

We then learnt apriori through an exercise that requires the installation of apriori library from python.

During our first meeting with Miss nurul, we learnt about supervised learning and unsupervised learning

We learnt about the k-means algorithm particularly. We also practiced on the exercise. we discovered about the library used for k-means algorithm in python. maybe this is potentially a key for our final project?