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[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

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prakHr/NeuralNetworksAndFuzzyLogic

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[College Project] - BITS F312

Implementation of different machine learning algorithms with the help of matlab, python3 and jupyter notebook.You can also look at implementation of cross validation partition, both using k-fold and holdout splits using iris dataset.Autoencoders are also implemented using the same.

Table of contents

Summary

Did respective college (3)assignments.

ProblemsAssignment-1
1Linear Regression
2Stochastic Gradient Descent
3Ridge Regression
4Vectorized Linear Regression
5Least Angle Regression
6unsupervised learning
7Logistic Regression for binary class
8Logistic Regression for multi class
9Logistic Regression for multi class
10Likelihood ratio test
11Maximum A Posteriori
12Maximum Likelihood
ProblemsAssignment-2
1Multi layer perceptron based Neural Network(2 hidden layers)
2Radial basis function NN
3Stacked Autoencoder
4Extreme learning machine
5Stacked Autoencoder+ELM
ProblemsAssignment-3
1Convolutional Neural Network
2Conv2D Transpose
3ANFIS

This was challenging since it was my first time using matlab,and doing data analysis using it.

Technologies

  • Python3.6
  • Matlab

Modules

  • keras
  • sklearn

Matlab_Functions

  • xlsread, ones, size, mean, std, randperm, length, plot, xlabel, ylabel, clear, plot3, contour, scatter, sqrt, sum, find, display, confusionmat, trace, min, cvpartition, norm, kmeans, max, trainAutoencoder, encode, stack, train, stackednet, pinv, tanh, randn, normpdf

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