Machine Learning Soc Sci · Quantitative Methods In The Social Sciences
Learned things including supervised learning, basic model selection, Feature Selection, Decision tree, Ensemble Models, working with Text as Data and Neural Networks through python.
intro and intermediate python, machine learning techniques
Many machine learning techniques, how to use Python, use sci-kit library, intro to keras
machine learning algorithms and practice
I learned an overview for thinking about and evaluating machine learning problems
Data preprocessing and basic machine learning
I learned how to manipulate data and run models using Python, a tool that I previously did not have experience with.
basic machine learning techniques in python. uses basic datasets to teach and for assignments. would have maybe liked to see some more complex "real world" applications as examples in action or how they build upon these foundations.
I learned how to select and apply various quantitative and machine learning models in python.
Very informative class, great for anyone, even those with limited experience in Python.