Python/Machine Learning
Took a Machine Learning class at Franklin University:
Learned about the different methods of machine learning like supervised and unsupervised learning.
Learned the difference between classification and regression.
Learned the syntax of Python and used its tools (like Pandas and Numpy) to access and manage data.
Learned basic machine learning principles and implemented the perception algorithm.
Used skikit-learn to use multiple built in ML functions. Learned functions to deal with scaling and overfitting and underfitting.
Learned about decision trees, random forest trees, SVC, Gradient decent, and K nearest neighbors