Course Wiki
Explore more — Machine Learning Zoomcamp Module 2
In this project, we included only 5 top features. What happens if we include 10?
Related Pages
Machine Learning Zoomcamp › Module 2: Machine Learning for Regression › Explore more
Notes
Explore more
Questions
- In this project, we included only 5 top features. What happens if we include 10?
That’s not a graded homework, it’s just for you if you want to try more things on this project
Other projects
Here are other datasets that you can play with to learn more about the topic:
- California housing dataset - predict the price of a house
- Student Performance Data Set - predict the performance of students
- UCI ML Repository contains a lot of other datasets suitable for practicing regression - https://archive.ics.uci.edu/ml/datasets.php?task=reg
Key concepts
Related notes
- mlz-m01-setting-up-the-environment
- mlz-m01-summary
- mlz-m02-baseline-model-for-car-price-prediction-project
- mlz-m02-car-price-prediction-project
- mlz-m02-car-price-prediction-project-summary
- mlz-m02-categorical-variables
- mlz-m02-computing-rmse-on-validation-data
- mlz-m02-data-preparation
- mlz-m02-exploratory-data-analysis
- mlz-m02-feature-engineering
- mlz-m02-linear-regression
- mlz-m02-linear-regression-vector-form
- mlz-m02-regularization
- mlz-m02-root-mean-squared-error-rmse
- mlz-m02-setting-up-the-validation-framework
- mlz-m02-training-linear-regression-normal-equation
- mlz-m02-tuning-the-model
- mlz-m02-using-the-model
- mlz-m03-explore-more
- mlz-m03-feature-importance-mutual-information
- mlz-m03-one-hot-encoding
- mlz-m03-setting-up-the-validation-framework
- mlz-m03-summary
- mlz-m03-training-logistic-regression-with-scikit-learn
- mlz-m04-accuracy-and-dummy-model
- mlz-m04-cross-validation
- mlz-m04-roc-auc
- mlz-m04-roc-curves
- mlz-m05-python-virtual-environment-pipenv
- mlz-m06-decision-tree-learning-algorithm
- mlz-m06-decision-trees
- mlz-m06-ensemble-learning-and-random-forest
- mlz-m09-explore-more