https://github.com/jeevan-j/machine-learning-with-python

Basics of Machine Learning concepts with useful examples in Python
https://github.com/jeevan-j/machine-learning-with-python

Last synced: 3 days ago
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Basics of Machine Learning concepts with useful examples in Python

• Host: GitHub
• URL: https://github.com/jeevan-j/machine-learning-with-python
• Owner: Jeevan-J
• License: gpl-3.0
• Created: 2019-12-23T08:41:56.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-30T05:59:45.000Z (about 5 years ago)
• Last Synced: 2025-01-06T04:07:36.140Z (10 days ago)
• Language: Jupyter Notebook
• Size: 908 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine-Learning-with-Python

Basics of Machine Learning concepts with useful examples in Python

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# Modules

Module 1 - Introduction to Machine Learning and Python

Module 2 - Data Science tools and Python Basics

Module 3 - Data handling with Pandas and Numpy, data visualizations with Matplotlib and Plotly

Module 4 - Overview of Pattern Recognition and Machine Learning concepts (Supervised & Unsupervised Learning; Bayes decision Theory, Linear discriminant functions) 

Module 5 - Simple statistical machine learning concepts with Scikit-Learn

Module 6 - Feature Extraction techniques (Dimensionality reduction, PCA and Fisher Linear Discriminants)

Module 7 - Unsupervised Machine Learning (Clustering, K-means, K-NN)

Module 8 - Supervised Machine Learning Topics #1 (Linear Perceptron and Support Vector Machines)

Module 9 - Supervised Machine Learning Topics #2 (Intro to Neural Networks, Training and Testing of NN Models)