Machine Learning Algorithms
Implemented following Machine Learning Algorithms using python script
Logistic Regression Algorithm
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Coded logistic Regression Algorithm on Iris Dataset using MLE. In this code, I have only taken into consideration classes Virginica and non-Virginica
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For training dataset, I have used features-Sepal length and sepal width and used gradient descent to train the model
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Learning Rate is tuned to achieve best results. Represented accuracy as well as projected logistic regression graph
Facial Reconstruction using PCA(Principal Component Analysis) Algorithm
Implemented PCA Algorithm on 177 face images(256*256 pixels /image) for computing n number of eigen faces(n = 10,30,50,100,150) and showed curve, eigen faces generated after implementing PCA and reconstruction errors for each case.
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K-means Algorithm
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Implemented Kmeans algorithm using EM repetition on initialized points and centeres using Euclidean distance
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Iterated algorthim till clusters reach convergence
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Neural Networks Algorithm
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​Coded neural networks Algorithm on Iris Dataset with one hidden layer
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Implemented forward and backward function of neural networks for various activation functions-sigmoid, tanh, ReLU, etc
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