Fix broken url issue

Author: ajay-dhangar

ai-ml/index.mdx

@@ -1,3 +0,0 @@
-Let $f\colon[a,b]\to\R$ be Riemann integrable. Let $F\colon[a,b]\to\R$ be
-$F(x)=\int_{a}^{x} f(t)\,dt$. Then $F$ is continuous, and at all $x$ such that
-$f$ is continuous at $x$, $F$ is differentiable at $x$ with $F'(x)=f(x)$.

ai-ml/machine-learning/machine-learning-core/introduction-to-ml.mdx

@@ -71,7 +71,7 @@ Building a model isn't just writing code; it's a circular process:
 
 1. **Define the Goal:** What are we trying to predict?
 2. **Data Collection:** Gathering raw information.
-3. **Data Preprocessing:** Cleaning and scaling (what you learned in the [Data Engineering module](/category/data-engineering-basics)).
+3. **Data Preprocessing:** Cleaning and scaling (what you learned in the [Data Engineering module](/ai-ml/category/data-engineering-basics)).
 4. **Model Training:** Feeding data to the algorithm.
 5. **Evaluation:** Testing the model on data it hasn't seen before.
 6. **Deployment:** Putting the model into a real-world app.

ai-ml/machine-learning/machine-learning-core/supervised-learning/regression/elastic-net.mdx

@@ -120,4 +120,4 @@ print(f"Best L1 Ratio: {model_cv.l1_ratio_}")
 
 ---
 
-**You've now covered all the primary linear regression models! But what if your goal isn't to predict a number, but to group similar data points together?** Head over to the [Clustering](/category/clustering) section to explore techniques like K-Means and DBSCAN!
+**You've now covered all the primary linear regression models! But what if your goal isn't to predict a number, but to group similar data points together?** Head over to the [Clustering](/ai-ml/category/clustering) section to explore techniques like K-Means and DBSCAN!

docs/index.mdx

@@ -102,7 +102,7 @@ Select a technology below to dive into our structured tutorials. Each path is de
   <p>Learn NoSQL database concepts with MongoDB. Store, query, and manage data efficiently for modern applications.</p>
 </DocsCard>
 
-<DocsCard header="AI & Machine Learning" href="/machine-learning" icon="/icons/ai-chat.svg">
+<DocsCard header="AI & Machine Learning" href="/ai-ml" icon="/icons/ai-chat.svg">
   <p>Explore artificial intelligence, machine learning, and neural networks with beginner-friendly examples.</p>
 </DocsCard>