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This repo is for ML Specialization through UW on Coursera

Jupyter Notebook 99.98% Python 0.02%
machine-learning machine-learning-algorithms university-of-washington coursera coursera-machine-learning python graphlab-create regression classification clustering

machine-learning-specialization-uw's Introduction

Machine Learning Specialization (using Python + GraphLab Create) - University of Washington (Coursera.org)

This repository is dedicated to all the assignments/lectures taught in Machine Learning Specialization through Coursera.org from University of Washington. Courses in this specialization are:

  1. Machine Learning Foundations
  2. Regression
  3. Classification
  4. Clustering & Retrieval

All the assignments use GraphLab Create, iPython notebooks, Python version >=2.7, Numpy(for array/matrix manipulation), Scipy(computing), Pandas(Data analysis/cleaning), SFrame(equivalent of Dataframe), Matplotlib(for visualization).

Any suggestions are welcome. Fork the repo and push the changes, if they are improved versions of what is already written, I will overwrite/merge it. Make sure to commit with appropriate details.

If you'd like to collaberate on some really interesting projects using Python/Java and Machine Learning, please do contact as this specialization was left without the last course (Recommendation & Dimensionality Reduction) from the university.

Contact Information:
Email: [email protected]
Linkedin: https://www.linkedin.com/in/mehulpatel2190/

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