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
Recent Publications
Optimal Approach for Image Recognition using Deep Convolutional Architecture
Coordinators of Machine Intelligence Lab:
- Dr. Vibha Patel
- Mr. Viral Panchal