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The code in this repository corresponds to exercises, projects, and examples covered in the respective courses of the Machine Learning Specialization. The goal is to review and reinforce the concepts learned during the specialization.

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NandanKumar07/ML_CODE_REVISIT

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Machine Learning Code Revisit

This repository contains code and materials revisiting the Machine Learning Specialization on Coursera. The specialization includes three courses:

  1. Supervised Learning
  2. Advanced Learning Algorithm
  3. Unsupervised Learning

Overview

The code in this repository corresponds to exercises, projects, and examples covered in the respective courses of the Machine Learning Specialization. The goal is to review and reinforce the concepts learned during the specialization.

Courses

1. Supervised Learning

  • Code related to supervised learning algorithms such as linear regression, logistic regression, and support vector machines.

2. Advanced Learning Algorithm

  • Implementation and understanding of advanced machine learning algorithms, including neural networks and deep learning.

3. Unsupervised Learning

  • Code examples and projects focusing on unsupervised learning techniques, including clustering and dimensionality reduction.

Repository Structure

  • /Supervised_Learning: Contains code and materials from the Supervised Learning course.
  • /Advanced_Learning_Algorithm: Code for the Advanced Learning Algorithm course.
  • /Unsupervised_Learning: Materials related to the Unsupervised Learning course.

Usage

Feel free to explore the code in each course's respective directory. You may find exercises, projects, and additional resources to help reinforce the concepts learned in the courses.

Resources

License

This project is licensed under the [MIT License](Copyright

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.)

Happy coding!

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The code in this repository corresponds to exercises, projects, and examples covered in the respective courses of the Machine Learning Specialization. The goal is to review and reinforce the concepts learned during the specialization.

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