This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.
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Installation of Python Libraries/ MATLAB tools for Machine Learning
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Data pre-processing using Python Machine Learning libraries/ MATLAB.
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Design a model to predict the housing price from Boston Dataset using Multivariate Linear Regression.
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Build a classifier using Logistic Regression, k- Nearest Neighbor / Decision Tree to classify whether the given user will purchase a product or not from a social networking dataset.
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Segment a customer dataset based on the buying behaviour of customers using K- means/Hierarchical clustering.
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Dimensionality reduction of any CSV/image dataset using Principal Component Analysis.
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Recognition of MNIST handwritten digits using Artificial Neural Network.
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Build an email spam classifier using SVM.
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Classify the given text segment as ‘Positive’ or ‘Negative’ statement using the Naive Bayes Classifier.
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Predict Future Stock Price of a Company using Monte Carlo Simulation.
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