Update README.md

README.md

@@ -1,55 +1,63 @@
+
 <p align="center">
-<img width=30% src="https://github.com/trane-dev/Trane/blob/main/docs/image.jpeg" alt=“Trane_Logo” />
+<img width=30% src="https://github.com/trane-dev/Trane/blob/main/docs/image.jpeg" alt="Trane Logo" />
 </p>
 
 <p align="center">
-    <a href="https://github.com/trane-dev/Trane/actions/workflows/tests.yaml" target="_blank">
-      <img src="https://github.com/trane-dev/Trane/actions/workflows/tests.yaml/badge.svg" alt="Tests" />
+    <a href="https://github.com/trane-dev/Trane/actions/workflows/tests.yaml">
+      <img src="https://github.com/trane-dev/Trane/actions/workflows/tests.yaml/badge.svg" alt="Tests Status" />
     </a>
-    <a href="https://codecov.io/gh/trane-dev/Trane" >
-      <img src="https://codecov.io/gh/trane-dev/Trane/branch/main/graph/badge.svg?token=HafAlYGH8F"/>
+    <a href="https://codecov.io/gh/trane-dev/Trane">
+      <img src="https://codecov.io/gh/trane-dev/Trane/branch/main/graph/badge.svg?token=HafAlYGH8F" alt="Code Coverage" />
     </a>
-    <a href="https://badge.fury.io/py/Trane" target="_blank">
+    <a href="https://badge.fury.io/py/Trane">
         <img src="https://badge.fury.io/py/Trane.svg?maxAge=2592000" alt="PyPI Version" />
     </a>
-    <a href="https://pepy.tech/project/Trane" target="_blank">
-        <img src="https://static.pepy.tech/badge/tran" alt="PyPI Downloads" />
+    <a href="https://pepy.tech/project/Trane">
+        <img src="https://static.pepy.tech/badge/trane" alt="PyPI Downloads" />
     </a>
 </p>
+
 <hr>
 
-Trane is a software package designed to automatically generate problems for temporal datasets and produce labels for supervised learning. It aims to enhance the automation of the machine learning problem-solving process.
+**Trane** is a software package that automatically generates problems for temporal datasets and produces labels for supervised learning. Its goal is to streamline the machine learning problem-solving process.
 
-# Install
+## Install
 
-To install Trane, run the following command:
+Install Trane using pip:
 
 ```shell
 python -m pip install trane
 ```
 
-# Example
+## Usage 
+
+Here's a quick demonstration of Trane in action:
 
-Below is an example of using Trane:
 ```python
 import trane
+
 data, metadata = trane.load_airbnb()
 entity_columns = ["location"]
 window_size = "2d"
+
 problem_generator = trane.ProblemGenerator(
     metadata=metadata,
     window_size=window_size,
     entity_columns=entity_columns
 )
 problems = problem_generator.generate()
-print(f'Generated {len(problems)} problems')
+
+print(f'Generated {len(problems)} problems.')
 print(problems[108])
 print(problems[108].create_target_values(data).head(5))
 ```
 
-```text
-Generated 168 problems
-For each <location> predict the majority <rating> in all related records in next 2d days
+Output:
+
+```
+Generated 168 problems.
+For each <location> predict the majority <rating> in all related records in the next 2 days.
   location       time  target
 0   London 2021-01-01       5
 1   London 2021-01-03       4
@@ -58,14 +66,16 @@ For each <location> predict the majority <rating> in all related records in next
 4   London 2021-01-09       5
 ```
 
-# Community
-- Need help? Use a [GitHub issue](https://github.com/trane-dev/Trane/issues)
-- Prefer chatting? [Join Slack](https://join.slack.com/t/trane-dev/shared_invite/zt-1zglnh25c-ryuQFarw0rVgKHC6ywUOlg)
+## Community
+
+- **Questions or Issues?** Create a [GitHub issue](https://github.com/trane-dev/Trane/issues).
+- **Want to Chat?** [Join our Slack community](https://join.slack.com/t/trane-dev/shared_invite/zt-1zglnh25c-ryuQFarw0rVgKHC6ywUOlg).
+
+## Cite Trane
 
-# Citing Trane
-If you use Trane, please consider citing the following paper:
+If you find Trane beneficial, consider citing our paper:
 
-Ben Schreck, Kalyan Veeramachaneni. [What Would a Data Scientist Ask? Automatically Formulating and Solving Predictive Problems.](https://dai.lids.mit.edu/wp-content/uploads/2017/10/Trane1.pdf) *IEEE DSAA 2016*, 440-451
+Ben Schreck, Kalyan Veeramachaneni. [What Would a Data Scientist Ask? Automatically Formulating and Solving Predictive Problems.](https://dai.lids.mit.edu/wp-content/uploads/2017/10/Trane1.pdf) *IEEE DSAA 2016*, 440-451.
 
 BibTeX entry: