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.

implementing Association Rules Mining algorithms : Aprioro and FP-Growth

• classification of diabetes data by Logistic Regression

• predict truth of a question by naive bayes

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

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

  

• clustering using kmeans and dbscan algorithms

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