MeiC C's Highlights on 'Trees and Forests'

Interpretable Machine Learning with XGBoost

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Mar 15, 2024

Preprocess Data

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Mar 13, 2024

Handling Categorical Data

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Mar 13, 2024

Handling Numerical Data

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421

How to Develop a Light Gradient Boosted Machine (LightGBM) Ensemble - MachineLearningMastery.com

machinelearningmastery.com/light-gradient-boosted-machine-lightgbm-ensemble/

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sklearn.linear_model.LogisticRegression

scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html

Mar 7, 2024

Nested cross-validation — Scikit-learn course

inria.github.io/scikit-learn-mooc/python_scripts/cross_validation_nested.html

Mar 7, 2024

Nested Cross-Validation for Machine Learning with Python - MachineLearningMastery.com

machinelearningmastery.com/nested-cross-validation-for-machine-learning-with-python/

Mar 6, 2024

What is Cross-Validation?

towardsdatascience.com/what-is-cross-validation-60c01f9d9e75

Mar 1, 2024

3.1. Cross-validation: evaluating estimator performance

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Feb 29, 2024

5. Support Vector Machines

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Feb 26, 2024

Support Vector Machines

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Feb 26, 2024

4. Training Models

learning.oreilly.com/library/view/hands-on-machine-learning/9781492032632/ch04.html

Feb 26, 2024

結婚越久對另一半越不滿？不懂為何當初會嫁給他？專家：婚姻中不要對伴侶有太多期待｜元氣網

health.udn.com/health/story/6055/7779573?from=udn-referralnews_ch1005artbottom

Feb 25, 2024

What is ridge regression? | IBM

www.ibm.com/topics/ridge-regression

Feb 24, 2024

7. Ensemble Learning and Random Forests

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156

6. Decision Trees

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K-Nearest Neighbors

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Trees and Forests

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Deep Dive Into Error Analysis and Model Debugging in Machine Learning (and Deep Learning)

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1.6. Nearest Neighbors

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Feb 21, 2024

F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose?

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Feb 20, 2024

3. Classification

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Feb 19, 2024

532

Regression Plots - statsmodels 0.15.0 (+132)

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Dec 29, 2023

How to Choose a Feature Selection Method For Machine Learning - MachineLearningMastery.com

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Dec 12, 2023

4. Regression and Prediction

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Dec 5, 2023

12. k-Nearest Neighbors

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Dec 4, 2023

Common Probability Distributions

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Nov 28, 2023

14. Views

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Nov 3, 2023

13. Indexes and Constraints

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Oct 30, 2023

12. Transactions

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Oct 30, 2023

Discrete distributions: empirical, Bernoulli, binomial, Poisson, geometric - DiscreteDist.pdf

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Oct 23, 2023

7. Hypothesis and Inference

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Oct 23, 2023

SQL by Design: Why You Need Database Normalization

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Sep 28, 2023

3. Query Primer

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Sep 26, 2023

2. Creating and Populating a Database

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Sep 26, 2023

1. A Little Background

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Sep 25, 2023

6. Probability

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5. Statistics

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Jul 19, 2023

Visualization with Matplotlib

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Jul 17, 2023

The Architecture of Open Source Applications (Volume 2)matplotlib

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Jul 9, 2023

3. Visualizing Data

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Jul 7, 2023

Pipenv: A Guide to the New Python Packaging Tool – Real Python

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Jul 6, 2023

The Python Requirements File and How to Create it

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Jul 5, 2023

Introduction to NumPy

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Jun 27, 2023

Data Manipulation with Pandas

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Jun 27, 2023

Interpretable Machine Learning with XGBoost

Preprocess Data

Handling Categorical Data

Handling Numerical Data

How to Develop a Light Gradient Boosted Machine (LightGBM) Ensemble - MachineLearningMastery.com

sklearn.linear_model.LogisticRegression

Nested cross-validation — Scikit-learn course

Nested Cross-Validation for Machine Learning with Python - MachineLearningMastery.com

What is Cross-Validation?

3.1. Cross-validation: evaluating estimator performance

5. Support Vector Machines

Support Vector Machines

4. Training Models

結婚越久對另一半越不滿？不懂為何當初會嫁給他？ 專家：婚姻中不要對伴侶有太多期待｜元氣網

What is ridge regression? | IBM

7. Ensemble Learning and Random Forests

6. Decision Trees

K-Nearest Neighbors

Trees and Forests

Deep Dive Into Error Analysis and Model Debugging in Machine Learning (and Deep Learning)

1.6. Nearest Neighbors

F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose?

3. Classification

Regression Plots - statsmodels 0.15.0 (+132)

How to Choose a Feature Selection Method For Machine Learning - MachineLearningMastery.com

4. Regression and Prediction

12. k-Nearest Neighbors

Common Probability Distributions

14. Views

13. Indexes and Constraints

12. Transactions

Discrete distributions: empirical, Bernoulli, binomial, Poisson, geometric - DiscreteDist.pdf

7. Hypothesis and Inference

SQL by Design: Why You Need Database Normalization

3. Query Primer

2. Creating and Populating a Database

1. A Little Background

6. Probability

5. Statistics

Visualization with Matplotlib

The Architecture of Open Source Applications (Volume 2)matplotlib

3. Visualizing Data

Pipenv: A Guide to the New Python Packaging Tool – Real Python

The Python Requirements File and How to Create it

Introduction to NumPy

Data Manipulation with Pandas

結婚越久對另一半越不滿？不懂為何當初會嫁給他？專家：婚姻中不要對伴侶有太多期待｜元氣網