Subject archive for "machine-learning," page 7
![](https://cdn.sanity.io/images/kuana2sp/production-main/c43a6fc56cde27710f7fd50112dd293cf211b1de-6000x4000.jpg?w=650&fit=max&auto=format)
![](https://cdn.sanity.io/images/kuana2sp/production-main/7cfe4a6aa6fc038174bcf8a1af58b0edc75de820-1024x514.jpg?w=650&fit=max&auto=format)
Data Science
Towards predictive accuracy: tuning hyperparameters and pipelines
By Andrea Lowe37 min read
![](https://cdn.sanity.io/images/kuana2sp/production-main/6dbe1e688a963bfe06070b8ff217c95ef7c8f9ad-2560x1707.jpg?w=650&fit=max&auto=format)
Data Science
What is the Data Science Lifecycle for Data Science Projects?
By David Weedmark12 min read
![](https://cdn.sanity.io/images/kuana2sp/production-main/eb88e4ab8e0c27ed5c4fcefe42523bca94be558b-2560x2011.jpg?w=650&fit=max&auto=format)
Data Science
Explaining black-box models using attribute importance, PDPs, and LIME
By Nikolay Manchev17 min read
![](https://cdn.sanity.io/images/kuana2sp/production-main/6677576ecc4052b35280572a65f7bd943817b9be-1707x1280.jpg?w=650&fit=max&auto=format)
![](https://cdn.sanity.io/images/kuana2sp/production-main/19421c376a699352a29b12659d607319e60f4fe1-2024x1352.png?w=650&fit=max&auto=format)
Data Science
ML internals: Synthetic Minority Oversampling (SMOTE) Technique
By Nikolay Manchev22 min read
![](https://cdn.sanity.io/images/kuana2sp/production-main/6a5443ca994f78519343ff43b6e92229fa81b446-2560x1707.jpg?w=650&fit=max&auto=format)
Data Science
Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving
By Nikolay Manchev16 min read
![](https://cdn.sanity.io/images/kuana2sp/production-main/1e4e754b181b5221357001119e0613cd93cb5f60-2272x1470.jpg?w=650&fit=max&auto=format)