https://github.com/madhurimarawat/pattern-recognition-and-machine-learning

This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.
https://github.com/madhurimarawat/pattern-recognition-and-machine-learning

artificial-neural-networks data-reduction decision-trees dimentionality-reduction k-means-clustering k-nearest-neighbours logistic-regression machine-learning-algorithms mnist-dataset monte-carlo-simulation multivariate-linear-regression naive-bayes-classifier pre-processing-data predict-stock-prices principal-component-analysis python python-libraries social-networking-dataset support-vector-machines text-classifier

Last synced: about 13 hours ago
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This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.

• Host: GitHub
• URL: https://github.com/madhurimarawat/pattern-recognition-and-machine-learning
• Owner: madhurimarawat
• Created: 2023-11-05T15:21:27.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-28T17:39:28.000Z (11 months ago)
• Last Synced: 2023-12-29T16:50:30.423Z (11 months ago)
• Topics: artificial-neural-networks, data-reduction, decision-trees, dimentionality-reduction, k-means-clustering, k-nearest-neighbours, logistic-regression, machine-learning-algorithms, mnist-dataset, monte-carlo-simulation, multivariate-linear-regression, naive-bayes-classifier, pre-processing-data, predict-stock-prices, principal-component-analysis, python, python-libraries, social-networking-dataset, support-vector-machines, text-classifier
• Language: Jupyter Notebook
• Homepage:
• Size: 3.64 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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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## Thanks for Visiting 😄

Drop a 🌟 if you find this repository useful.



If you have any doubts or suggestions, feel free to reach me.



📫 How to reach me:    [![Linkedin Badge](https://img.shields.io/badge/-madhurima-blue?style=flat&logo=Linkedin&logoColor=white)](https://www.linkedin.com/in/madhurima-rawat/)