Google Colab(oratory)
Python
Visualization
Machine Learning
- Visual Intro Decision Tree
(link)
- Bias and Variance
(link)
- explained.ai
(link)
- House Prices - Advanced Regression Techniques
(link)
- Titanic - Machine Learning from Disaster
(link)
Miscellaneous
Kaggle
- The Kaggle Grandmasters Playbook: 7 Battle-Tested Modeling Techniques for Tabular Data
(link)
- Top solutions of the regression playground competitions in last one year
(link)
ML
- How to visualize decision trees
(link)
- dtreeviz : Decision Tree Visualization
(link)
- Beware Default Random Forest Importances
(link)
- Feature importances for scikit-learn machine learning models
(link)
- How to explain gradient boosting
(link)
- Gradient Boosted Regression Trees
(link)
- The Mechanics of Machine Learning
(link)
- Decision Tree: an algorithm that works like the human brain
(link)
- treeinterpreter
(link)
- Interpreting random forests
(link)
- Random forest interpretation with scikit-learn
(link)
- treeinterpreter - Interpreting Tree-Based Model’s Prediction of Individual Sample
(link)
- Demystify the random forest
(link)
- AutoML
(link)
Competions
- Predicting Optimal Fertilizers
(link)
- Predict Calorie Expenditure
(link)
- Binary Prediction with a Rainfall Dataset
(link)
- Regression with an Insurance Dataset
(link)
- Exploring Mental Health Data
(link)
- Loan Approval Prediction
(link)
- Regression of Used Car Prices
(link)
- Feature Engineering for House Prices
(link)
