diff --git a/03_Machine_Learning/mRNA_TCGA_limma_dataset_svm_final.ipynb b/03_Machine_Learning/mRNA_TCGA_limma_dataset_svm_final.ipynb index 51b70ce82ad55d7f42e700db8882a3e52e76da49..d1ee5e644c85b79639df61a7a25d0fe85311c810 100644 --- a/03_Machine_Learning/mRNA_TCGA_limma_dataset_svm_final.ipynb +++ b/03_Machine_Learning/mRNA_TCGA_limma_dataset_svm_final.ipynb @@ -7,7 +7,7 @@ "metadata": {}, "outputs": [], "source": [ - "## TRAINING SET : MERGED DATA , TESTING DATA: TCGA mRNA data" + "## TRAINING SET : MERGED DATA , TESTING DATA: TCGA mRNA data, MODEL: Support Vector Machine" ] }, { diff --git a/03_Machine_Learning/mRNA_TCGA_limma_dataset_xgb_final.ipynb b/03_Machine_Learning/mRNA_TCGA_limma_dataset_xgb_final.ipynb index 9f76496637de6a1c38ed6292d945dc31efca39b9..3610e06ace61010a9a561af9029eeaee85313d38 100644 --- a/03_Machine_Learning/mRNA_TCGA_limma_dataset_xgb_final.ipynb +++ b/03_Machine_Learning/mRNA_TCGA_limma_dataset_xgb_final.ipynb @@ -1,5 +1,15 @@ { "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "1f4f9ab3", + "metadata": {}, + "outputs": [], + "source": [ + "## TRAINING SET : MERGED DATA , TESTING DATA: TCGA mRNA data, MODEL: XGBoost" + ] + }, { "cell_type": "code", "execution_count": 3,