The course provides the entire toolbox you need to become a data scientist
Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
Understand the concepts and techniques used in creating applications.
Successfully perform all steps in a complex Data Science project
Requirements
You only need to know how to click, copy and paste
Be ready to learn an insane amount of awesome stuff
Prepare to build world class machine learning apps!
