/machine-learning

Exploring core machine learning concepts, moving on to supervised and unsupervised learning. Also topics in deep learning and reinforcement learning. There is still a capstone project of my choosing, that applies these machine learning techniques and algorithms.

Primary LanguageJupyter Notebook

Projects from the Machine Learning Engineer Udacity Nanodegree

Content for Udacity's Machine Learning curriculum, which includes projects and their descriptions.

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Finished projects:

  1. Titanic Survival Operation (titanic_survival_operation)
  2. Boston House Pricing (boston_housing)
  3. Titanic Survival Operation with Decision Trees (titanic_survival_operation_decisonTrees)
  4. Spam Detection (spam_detection_bayes)
  5. Finding Donors for CharityML (finding_donors)
  6. K-Means Movie Recommendations (movie_ratings)
  7. DBSCAN Lab (dbscan-lab)
  8. Faces recognition example using eigenfaces and SVMs (face_recognition)
  9. ICA Lab (ICA-lab)
  10. Determining Customer Segments (customer_segments)