Fix broken links from old path (#37)

Co-authored-by: Brandon Kauffman <brandon.kauffman@pulsarinformatics.com>

Author: bck01215

README.md

@@ -5549,7 +5549,7 @@ However, this is not scalable, and performing this query on large datasets will
 
 **Geohashing**
 
-[Geohashing](/courses/sytem-design/geohashing-and-quadtrees#geohashing) is a [geocoding](https://en.wikipedia.org/wiki/Address_geocoding) method used to encode geographic coordinates such as latitude and longitude into short alphanumeric strings. It was created by [Gustavo Niemeyer](https://twitter.com/gniemeyer) in 2008.
+[Geohashing](#geohashing) is a [geocoding](https://en.wikipedia.org/wiki/Address_geocoding) method used to encode geographic coordinates such as latitude and longitude into short alphanumeric strings. It was created by [Gustavo Niemeyer](https://twitter.com/gniemeyer) in 2008.
 
 Geohash is a hierarchical spatial index that uses Base-32 alphabet encoding, the first character in a geohash identifies the initial location as one of the 32 cells. This cell will also contain 32 cells. This means that to represent a point, the world is recursively divided into smaller and smaller cells with each additional bit until the desired precision is attained. The precision factor also determines the size of the cell.
 
@@ -5561,7 +5561,7 @@ Now, using the customer's geohash we can determine the nearest available driver
 
 **Quadtrees**
 
-A [Quadtree](/courses/sytem-design/geohashing-and-quadtrees#quadtrees) is a tree data structure in which each internal node has exactly four children. They are often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. Each child or leaf node stores spatial information. Quadtrees are the two-dimensional analog of [Octrees](https://en.wikipedia.org/wiki/Octree) which are used to partition three-dimensional space.
+A [Quadtree](#quadtrees) is a tree data structure in which each internal node has exactly four children. They are often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. Each child or leaf node stores spatial information. Quadtrees are the two-dimensional analog of [Octrees](https://en.wikipedia.org/wiki/Octree) which are used to partition three-dimensional space.
 
 ![quadtree](https://raw.githubusercontent.com/karanpratapsingh/portfolio/master/public/static/courses/system-design/chapter-IV/geohashing-and-quadtrees/quadtree.png)
 
@@ -5571,7 +5571,7 @@ We can save further computation by only subdividing a node after a certain thres
 
 ![quadtree-subdivision](https://raw.githubusercontent.com/karanpratapsingh/portfolio/master/public/static/courses/system-design/chapter-IV/geohashing-and-quadtrees/quadtree-subdivision.png)
 
-[Quadtree](/courses/sytem-design/geohashing-and-quadtrees#quadtrees) seems perfect for our use case, we can update the Quadtree every time we receive a new location update from the driver. To reduce the load on the quadtree servers we can use an in-memory datastore such as [Redis](https://redis.io) to cache the latest updates. And with the application of mapping algorithms such as the [Hilbert curve](https://en.wikipedia.org/wiki/Hilbert_curve), we can perform efficient range queries to find nearby drivers for the customer.
+[Quadtree](#quadtrees) seems perfect for our use case, we can update the Quadtree every time we receive a new location update from the driver. To reduce the load on the quadtree servers we can use an in-memory datastore such as [Redis](https://redis.io) to cache the latest updates. And with the application of mapping algorithms such as the [Hilbert curve](https://en.wikipedia.org/wiki/Hilbert_curve), we can perform efficient range queries to find nearby drivers for the customer.
 
 **What about race conditions?**