prakHr / NeuralNetworksAndFuzzyLogic

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

NNFL

[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
• Technologies
• Modules
• Functions

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Summary

Did respective college (3)assignments.

Problems	Assignment-1
1	Linear Regression
2	Stochastic Gradient Descent
3	Ridge Regression
4	Vectorized Linear Regression
5	Least Angle Regression
6	unsupervised learning
7	Logistic Regression for binary class
8	Logistic Regression for multi class
9	Logistic Regression for multi class
10	Likelihood ratio test
11	Maximum A Posteriori
12	Maximum Likelihood

Problems	Assignment-2
1	Multi layer perceptron based Neural Network(2 hidden layers)
2	Radial basis function NN
3	Stacked Autoencoder
4	Extreme learning machine
5	Stacked Autoencoder+ELM

Problems	Assignment-3
1	Convolutional Neural Network
2	Conv2D Transpose
3	ANFIS

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

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Technologies

• Python3.6
• Matlab

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Modules

• keras
• sklearn

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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