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Take your data science skills to the next level with short articles and videos
How To Predict Missing Values
Missing data are often a problem in statistical modeling. They arise frequently in practice and are caused by many circumstances. For…
AlphaConverge
Jan 25, 2021
How To Evaluate A Neural Network Model Part I
How To Evaluate A Neural Network Model Part I
How to evaluate a neural network model? We will break this topic into two parts. Part I and Part II.
AlphaConverge
Mar 5, 2021
How To Evaluate A Neural Network Model Part II
How To Evaluate A Neural Network Model Part II
In Part I, we’ve talked about learning curves. While loss function can help you with model optimization, we also need to know if the model…
AlphaConverge
May 25, 2022
How To Avoid Overfitting In Neural Networks
How To Avoid Overfitting In Neural Networks
Most of the time, underfitting happens when the models or algorithms are too simple to fit more complex trends. The solution to this is…
AlphaConverge
Feb 27, 2021
Underfitting, Overfitting, And The Bias-Variance Tradeoff
Underfitting, Overfitting, And The Bias-Variance Tradeoff
Understanding model fit is important for understanding the root cause for poor model accuracy. The ideal scenario when fitting a model is…
AlphaConverge
Dec 23, 2022
Techniques to Combat Class Imbalance in Machine Learning
Techniques to Combat Class Imbalance in Machine Learning
Do you remember the rare disease example? It is a common problem called class imbalance. When evaluate models trained on this type of data…
AlphaConverge
Jul 5, 2022
XGBoost, LightGBM, CatBoost
XGBoost, LightGBM, CatBoost
In the past, we did an overview of the tree-based methods. Today we will focus on three gradient boosting algorithms XGBoost, LightGBM, and…
AlphaConverge
Jul 24, 2023
Bagging, Random Forest, And Boosting
Bagging, Random Forest, And Boosting
Decision trees, bagging, random forest and boosting can all be applied to both regression and classification. Decision trees are simple to…
AlphaConverge
Apr 2, 2021
Methods For High-Dimensional Problems In Linear Regression
Methods For High-Dimensional Problems In Linear Regression
Most of the relationships are not linear in the real world. However, linear model is an important model. It has distinct advantages in…
AlphaConverge
Feb 25, 2021
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