Add new research and academic projects: Dropout Reduces Underfitting, GLM Bikes, ML Loan Prediction, and Breast Cancer Detection

- Implemented a new research project on Dropout strategies in deep learning, including detailed objectives, methodology, and usage instructions.
- Created a project for predicting bike rentals using Generalized Linear Models, outlining objectives, methodology, and key findings.
- Developed a machine learning project for loan prediction, detailing objectives, methodology, and a report on model performance.
- Added a project focused on breast cancer detection using various classification models, including objectives, methodology, and resources.
- Updated package.json with author information and upgraded dependencies.

app/components/home/live/StatusPage.vue

@@ -1,7 +1,7 @@
 <script lang="ts" setup>
 import type { StatusPageData } from '~~/types'
 
-const { data, status } = await useAsyncData<StatusPageData>('home-status', () =>
+const { data, status, error } = await useAsyncData<StatusPageData>('home-status', () =>
   $fetch('/api/status-page'),
 { lazy: true }
 )
@@ -49,7 +49,7 @@ const statusState = computed(() => {
 
 <template>
   <ClientOnly>
-    <UCard class="h-full flex flex-col overflow-hidden">
+    <UCard v-if="!error" class="h-full flex flex-col overflow-hidden">
       <div class="p-5 border-b border-neutral-200 dark:border-neutral-800">
         <div class="flex items-center justify-between mb-2">
           <h3 class="font-bold text-neutral-900 dark:text-white text-sm">