ReadingLearningTinkering

notebooks in python, R or MATLAB that follow readings, demos, tutorials etc.

Notes from interesting texts &/or online courses

This repository hold notes & notebooks from various text & courses I take outside of CUNY SPS's Masters of Science in Data Science course

Currently Holds

• Natural Language Processing with Python (Bird, Klein & Loper)
• Hands-on Machine Learining with Scikit-Learn, Keras & TensorFlow (Geron)
• DataCamp Notes:
  • Statistics with R track
    • Bayesian Modeling with RJAGS
    • Correlation and Regression with R
    • Dealing with Missing Data in R
    • Experimental Design with R
    • Exploratory Data Analysis with R
    • Foundations of Inference with R
    • Foundations of Probability with R
    • Foundations of Bayesian Data Analysis with R
    • Inference for Categorical Data with R
    • Introduction to Data with R
    • Linear Algebra for Data Science with R
    • Modeling with Data in the Tidyverse
    • Multiple and Logistic Regression with R
  • R Shiny
    • Building Web Apps with Shiny in R
  • Object Oriented Programming in Python (not very descriptive tho, just a script with light comments)
  • Natural Language Processing in Python
    • Introduction to Natural Language Processing in Python
• Introduction to Data Science (Igual & Segui)