List: ML Class | Curated by DC

Oct 9, 2022
15 stories
ML Class
In
TDS Archive
by
Frank Liang
Optimization Techniques — Simulated AnnealingA popular method for optimizing model parameters
Apr 21, 2020
5
Apr 21, 2020
5
In
TDS Archive
by
HD
A Practical Guide to Interpreting and Visualising Support Vector MachinesOften considered ‘Black Boxes’. In this article we cover techniques to visualise learned SVM models and performance on real world data.
Jan 12, 2019
2
Jan 12, 2019
2
In
TDS Archive
by
Wei-Meng Lee
Tuning the Hyperparameters of your Machine Learning Model using GridSearchCVLearn how to use the GridSearchCV function in sklearn to optimize your machine learning model
Oct 20, 2021
2
Oct 20, 2021
2
In
TDS Archive
by
Rukshan Pramoditha
Validation Curve Explained — Plot the influence of a single hyperparameterPlot with less code! Save time to interpret it!
Mar 13, 2021
1
Mar 13, 2021
1
In
TDS Archive
by
Valentina Alto
Neural Networks: parameters, hyperparameters and optimization strategiesNeural Networks (NNs) are the typical algorithms used in Deep Learning analysis. NNs can take different shapes and structures…
Jul 5, 2019
1
Jul 5, 2019
1
In
TDS Archive
by
KSV Muralidhar
Learning Curve to identify Overfitting and Underfitting in Machine LearningThis article discusses overfitting and underfitting in machine learning along with the use of learning curves to effectively identify…
Feb 9, 2021
3
Feb 9, 2021
3
In
TDS Archive
by
Edward Krueger
Pre-Pruning or Post-PruningLearn how and when to Pre-Prune a Decision Tree in Python
Jul 29, 2021
Jul 29, 2021
In
Analytics Vidhya
by
akhil anand
Post-Pruning and Pre-Pruning in Decision TreeWhat is pruning ?
Dec 10, 2020
1
Dec 10, 2020
1
In
TDS Archive
by
Practicus AI
A Guide to Decision Trees for Machine Learning and Data ScienceDecision Trees are a class of very powerful Machine Learning model cable of achieving high accuracy in many tasks while being highly…
Nov 30, 2018
8
Nov 30, 2018
8
In
TDS Archive
by
Dima Shulga
5 Reasons why you should use Cross-Validation in your Data Science ProjectsCross-Validation is an essential tool in the Data Scientist toolbox. It allows us to utilize our data better. Before I present you my five…
Sep 27, 2018
2
Sep 27, 2018
2
In
TDS Archive
by
Rukshan Pramoditha
k-fold cross-validation explained in plain EnglishFor evaluating a model’s performance and hyperparameter tuning
Dec 19, 2020
1
Dec 19, 2020
1
In
TDS Archive
by
Ivo Bernardo
5 Decision Tree Hyperparameters to Enhance your Tree AlgorithmsIn this post we will explore 5 common decision tree hyperparameters that may boost your algorithm performance
Dec 21, 2021
Dec 21, 2021
In
TDS Archive
by
Soner Yıldırım
Hyperparameters of Decision Trees Explained with VisualizationsThe importance of hyperparameters in building robust models.
Jul 28, 2020
Jul 28, 2020
In
TDS Archive
by
Christopher Tao
Hands-on Machine Learning in Python — Decision Tree ClassificationA completed workflow of implementing a Decision Tree Model
Oct 12, 2020
Oct 12, 2020
In
TDS Archive
by
Philip Wilkinson, Ph.D.
Introduction to decision tree classifiers from scikit-learn
Nov 16, 2020
Nov 16, 2020