Data Mining Course Assignments

HW1

working with cubes library in python and indexing data. we use operations such as : ice, slice , drilldown on table of data and try to produce all kinds of queries.

HW2

implementing Association Rules Mining algorithms : Aprioro and FP-Growth

HW3

Question 1

• classification of diabetes data by Logistic Regression

Cost reduction over time is as follows:

Question 2

• predict truth of a question by naive bayes

Question 3

• predict death of Titanic passengers, pre-processing and feature engineering is also needed.

HW4

Question 1

• implementation of perceptron Learning algorithm
  the algorithm is as follows:

  

Question 2

• clustering using kmeans and dbscan algorithms

kmeans on first dataset:

kmeans on second dataset:

dbscan on first dataset:

dbscan on second dataset:

dendrogram of hierarchical clustering on first dataset :

dendrogram of hierarchical clustering on second dataset :

Question 3

• classification of MNIST dataset using :
  • fully connected Neural Network
  • Convolutional Neural Network