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Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, NaΓ―ve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Home Page: https://je-suis-tm.github.io/machine-learning

License: Apache License 2.0

Jupyter Notebook 100.00%
naive-bayes support-vector-machine stochastic-gradient-descent batch-gradient-descent newton-method multinomial-naive-bayes linear-discriminant-analysis sequential-minimal-optimization k-nearest-neighbors dbscan

machine-learning's Introduction

πŸ‘‹ there

My domains of interest would be

  • Bayesian Statistics: Latent Variables, Statistical Modeling, Statistical Inference;
  • Graph Theory: Complex System, Agent-based Modelling, Application in Ecology and Epidemiology;
  • Machine Learning: Matrix Completion, Recommender System, Feature Selection, Causality Detection;
  • Operations Research: Convex Optimization, Network Analysis, Game Theory;

If you look for collaboration in these fields or happen to know anyone who shares the same enthusiasm, please kindly refer to me, thank you!

+++++++++++++++++++++++++++++++++++++++++++++++++++

Thank you for visiting πŸ˜‡ I am not sure how many people actually have the patience to reach here. If that's you, 🎩 off. I really appreciate how many ⭐ you guys have given to Quant Trading. As you can see, I have devoted more and more energy towards other respositories such as Graph Theory and Machine Learning. Take a tour and you won't be disappointed 😏 Meanwhile, if you have any questions or thoughts, feel free to raise issues in the repository so we can start πŸ’¬ I genuinely enjoy conversations with people from diverse background and they never stop to inspire me to develop new perspectives to tackle challenges in life πŸ’ͺ

machine-learning's People

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machine-learning's Issues

SyntaxError: can't use starred expression here

Environment: Python 3.10 + Numpy 1.23.1

When running gaussian discriminant analysis.ipynb

"SyntaxError: can't use starred expression here" pop up

as below:

Input In [2]
*np.exp(
^
SyntaxError: can't use starred expression here

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