Archive

Archive

Earlier work — foundational machine-learning and data-science projects, and coursework. Kept for the record.

These are hands-on projects from an earlier phase — learning the craft of machine learning and data science in the open. They don't represent my current work (see AI & Engineering and Research), but they're part of how I got here.

Projects & posts

  1. Detecting Spam with Machine Learning Classifiers Sep 2022
  2. Predicting Pollutant Concentration via Machine Learning Regressor Models Sep 2022
  3. Predicting Air Quality Using Machine Learning Regressors Aug 2022
  4. Dogs vs Cats Image Classification with Keras Aug 2022
  5. Sentiment Analysis on the Literary Works of Oscar Wilde Aug 2022
  6. Sentiment Analysis on the Literary Works of Oscar Wilde Aug 2022
  7. MNIST Image Classification with Convolutional Neural Network Aug 2022
  8. Sentiment Analysis with Natural Language Processing Aug 2022
  9. Implementing Machine Learning Classifiers for Heart Disease Prediction Aug 2022
  10. Making Music from Images With Python Aug 2022
  11. Implementing Machine Learning Models for Heart Disease Prediction Aug 2022
  12. Extracting data from a variety of Databases/APIs Aug 2022
  13. Real Time Facial Recognition in Python Aug 2022
  14. Making Music From Images Aug 2022
  15. Building Music Recommender System Using Machine Learning Classifier Models Aug 2022
  16. Determining Soccer Player Jersey Color Using K-Means Clustering Aug 2022
  17. Importing Jupyter Lab Notebooks into Jekyll Site Aug 2022
  18. Iris Classification Tour De Force Aug 2022
  19. Training Machine Learning Models to Predict Solubility of Molecules Aug 2022
  20. Jekyll, Say Hi to Jupyter Notebook Again! Aug 2022
  21. Hello Jekyll! Aug 2022

Earlier training

Introductory data-science and programming coursework, plus a deep-learning specialization. Listed for completeness.

  • Deep Learning Specialization · Coursera · 2023
  • Data Manipulation with pandas · DataCamp · 2022
  • Introduction to Data Visualization with Seaborn · DataCamp · 2022
  • Intermediate Data Visualization with Seaborn · DataCamp · 2022
  • Introduction to NumPy · DataCamp · 2022
  • Joining Data with pandas · DataCamp · 2022
  • Introduction to Importing Data in Python · DataCamp · 2019
  • Intermediate Importing Data in Python · DataCamp · 2019
  • Introduction to SQL · DataCamp · 2019
  • Introduction to TensorFlow in Python · DataCamp · 2019
  • Python Fundamentals Track · DataCamp · 2019
  • Statistical Thinking in Python (Part 1) · DataCamp · 2019
  • Intermediate Python · DataCamp · 2019