1. Wrap-Up
Well Done! You've reached the final video of this course!
2. Machine Learning Pipeline
You've seen this machine learning pipeline many times throughout this course, so let's quickly recap as you've truly covered a lot!
3. Machine Learning Pipeline
You've learned how to import all of the required modules you'll need to perform preprocessing steps such as imputation to fill missing values, data transformations so that features take on a normal distribution, techniques to find and handle outliers, how to scale your data, select important features and/or reduce dimensions
4. Machine Learning Pipeline
all before you instantiate a model, cross-validate on your training set during model fitting, aka model training, in order select the best hyperparameters, and finally, to predict on and evaluate model performance with your test set.
5. CONGRATULATIONS!!!
You're now more ready than ever to ace your next machine learning interview! Continued practice with all of these concepts on various kinds of datasets you come across will help you become better and better at quickly creating accurate predictive machine learning models! It has been my pleasure to work with you and I wish you the best of luck in your journey ahead. And, again, congratulations!