Machine Intelligence Lab

Practical List for Machine Intelligence Lab:

Sr. No. Topics
1 To study various machine learning libraries like – Scipy, Sklearn, Keras, Tensorflow with their usage
2 Write a python program to solve the following problems:

a)     Find the probability of drawing two kings from a deck

b)     A math teacher gave her class two tests, 25 % of the class passed both tests and 42 % of the class passed the first test. Find the probability, number of students passed the second test

3 Write a python program to perform Linear classification using AND and OR logic
4 Project – 1: Design and develop a program to classify e-mails
5 Write a program to predict total payment for given number of claims on Swedish auto insurance dataset using linear regression
6 Project – 2: Design and develop a program for stock price prediction with past variation in price using SVM.
7 Write a program to perform dimensionality reduction on German loan dataset using Principal Component Analysis (PCA)
8 Write a program to implement K-means clustering on iris dataset
9 Write a program to apply decision tree classifier on pima Indian diabetes dataset
10 To design and implement a neural network with Pima Indian diabetes dataset
11 To implement multiclass classification with neural network on Iris flower species
12 Project – 3: To implement convolutional neural network for object recognition in an image with CIFAR 10 dataset
13 Project – 4: To implement sequence classification of Movie reviews with LSTM network

Available Resources:

AI/Deep Learning Software/Libraries:

  • Tensor Flow
  • Caffe
  • Caffe2
  • PyTorch
  • CNTK
  • Theano
  • Numpy
  • Scikit
  • Pandas
  • OS: Ubuntu 14.04 or 16.04
  • Datasets like ImageNet, CIFAR-10

Dataset released by MI Lab:

  • English – Gujarati parallel corpus for Machine Translation
    (https://github.com/shahparth123/eng_guj_parallel_corpus)

Research Projects:

  • English to Gujarati machine translation using deep learning
  • Steel defect detection and classification using deep learning
  • Computational implementation of Sanskrit dhatu-roop
  • Image captioning using deep learning

Coordinators of Machine Intelligence Lab:

  • Ms. Kinjal Mistree
  • Mr. Vishvajit Bakrola

Lab Incharge:

  • Ms. Madhavi Desai
  • Ms. Niyanta Desai
  • Mr. Parth Shah