├── chapter2_Validation_Basics.pdf ├── chapter3_Cross_Validation.pdf ├── chapter1_Basic_Modeling_in_scikit-learn.pdf ├── Course_notes_solutions_answers_Model_Validation_in_Python.pdf ├── chapter4_Selecting_the_best_model_with_Hyperparameter_tuning.pdf └── README.md /chapter2_Validation_Basics.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JNYH/DataCamp_Model_Validation_in_Python/HEAD/chapter2_Validation_Basics.pdf -------------------------------------------------------------------------------- /chapter3_Cross_Validation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JNYH/DataCamp_Model_Validation_in_Python/HEAD/chapter3_Cross_Validation.pdf -------------------------------------------------------------------------------- /chapter1_Basic_Modeling_in_scikit-learn.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JNYH/DataCamp_Model_Validation_in_Python/HEAD/chapter1_Basic_Modeling_in_scikit-learn.pdf -------------------------------------------------------------------------------- /Course_notes_solutions_answers_Model_Validation_in_Python.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JNYH/DataCamp_Model_Validation_in_Python/HEAD/Course_notes_solutions_answers_Model_Validation_in_Python.pdf -------------------------------------------------------------------------------- /chapter4_Selecting_the_best_model_with_Hyperparameter_tuning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JNYH/DataCamp_Model_Validation_in_Python/HEAD/chapter4_Selecting_the_best_model_with_Hyperparameter_tuning.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DataCamp_Model_Validation_in_Python 2 | This is a memo to share what I have learnt in Model Validation (using Python), capturing the learning objectives as well as my personal notes. The course is taught by Kasey Jones from DataCamp, and it includes 4 chapters: 3 | 4 | Chapter 1. Basic Modeling in scikit-learn 5 | 6 | Chapter 2. Validation Basics 7 | 8 | Chapter 3. Cross Validation 9 | 10 | Chapter 4. Selecting the best model with Hyperparameter tuning 11 | 12 | 13 | ## Personal Notes: 14 | https://medium.com/ai-in-plain-english/model-validation-in-python-ad23c1d215b 15 | --------------------------------------------------------------------------------