docs: add toc for content

Author: Ja7ad

README.md

@@ -4,26 +4,23 @@
 [![codecov](https://codecov.io/gh/Ja7ad/algo/graph/badge.svg?token=9fLKrkUviU)](https://codecov.io/gh/Ja7ad/algo)
 [![Go Report Card](https://goreportcard.com/badge/github.com/Ja7ad/algo)](https://goreportcard.com/report/github.com/Ja7ad/algo)
 
-**`algo`** is a Golang library featuring a variety of **efficient** and **well-optimized** algorithms 
-designed for diverse **problem-solving needs**. 
+**`algo`** is a Golang library featuring a variety of **efficient** and **well-optimized** algorithms designed for diverse **problem-solving needs**.
 
-## 📌 Features
-
-✅ **Optimized Performance** – Algorithms are designed with efficiency in mind.  
-✅ **Modular Structure** – Each algorithm is in its own package for easy use.  
-✅ **Well-Documented** – Clear documentation and examples for every algorithm.  
-✅ **Tested & Benchmarked** – Includes comprehensive tests and benchmarks.  
+The purpose of this package is to implement specific algorithms in a simplified manner based on formulaic documentation available on Wikipedia or other sources. These algorithms 
+been validated in terms of functionality and testing.
 
+- [📚 Available Algorithms](#-available-algorithms)
+- [🚀 Installation >= go 1.19](#-installation--go-119)
+- [✅ Usage Example](#-usage-example)
+- [📌 Contribution](#-contribution)
+- [📜 License](#-license)
 
 ## 📚 Available Algorithms
 
-| Algorithm                                        | Description |
-|--------------------------------------------------|-------------|
-| [Random Weighted Selection](./rws/README.md)     | Selects items randomly based on assigned weights. Useful in load balancing, gaming, and AI. |
-| [Reservoir Sampling Algorithm R](./rs/README.md) | Basic reservoir sampling, replaces elements with probability `k/i`. Efficient for uniform random sampling. |
-| [Reservoir Sampling Algorithm L](./rs/README.md) | Optimized reservoir sampling for large `N`, reduces unnecessary replacements using skipping. |
-| [Weighted Reservoir Sampling](./rs/README.md)    | Selects items with probability proportional to their weights using a heap-based approach. Used in recommendation systems and A/B testing. |
-| [Random Sort Reservoir Sampling](./rs/README.md) | Uses a min-heap and random priorities to maintain the top `k` elements in a streaming dataset. |
+| Algorithm | Description |
+|-----------|-------------|
+| [Random Weighted Selection](./rws/README.md) | Selects items randomly based on assigned weights. Useful in load balancing, gaming, and AI. |
+
 
 ## 🚀 Installation >= go 1.19