Pattern-Recognition-and-Machine-Learning

This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.

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Table Of Contents 📔 🔖 📑

1. Installation of Python Libraries/ MATLAB tools for Machine Learning

2. Data pre-processing using Python Machine Learning libraries/ MATLAB.

3. Design a model to predict the housing price from Boston Dataset using Multivariate Linear Regression.

4. 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.

5. Segment a customer dataset based on the buying behaviour of customers using K- means/Hierarchical clustering.

6. Dimensionality reduction of any CSV/image dataset using Principal Component Analysis.

7. Recognition of MNIST handwritten digits using Artificial Neural Network.

8. Build an email spam classifier using SVM.

9. Classify the given text segment as ‘Positive’ or ‘Negative’ statement using the Naive Bayes Classifier.

10. Predict Future Stock Price of a Company using Monte Carlo Simulation.

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