Docs spelling and grammar fixes (#13307)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: RainRat <rainrat78@yahoo.ca>

docs/en/integrations/google-colab.md

@@ -6,15 +6,15 @@ keywords: Ultralytics YOLOv8, Google Colab, CPU, GPU, TPU, Browser-based, Hardwa
 
 # Accelerating YOLOv8 Projects with Google Colab
 
-Many developers lack the powerful computing resources needed to build deep learning models. Acquiring high-end hardware or renting a decent GPU can be expensive. Google Colab is a great solution to this. It’s a browser-based platform that allows you to work with large datasets, develop complex models, and share your work with others without a huge cost.
+Many developers lack the powerful computing resources needed to build deep learning models. Acquiring high-end hardware or renting a decent GPU can be expensive. Google Colab is a great solution to this. It's a browser-based platform that allows you to work with large datasets, develop complex models, and share your work with others without a huge cost.
 
-You can use Google Colab to work on projects related to [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics) models. Google Colab’s user-friendly environment is well suited for efficient model development and experimentation. Let’s learn more about Google Colab, its key features, and how you can use it to train YOLOv8 models.
+You can use Google Colab to work on projects related to [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics) models. Google Colab's user-friendly environment is well suited for efficient model development and experimentation. Let's learn more about Google Colab, its key features, and how you can use it to train YOLOv8 models.
 
 ## Google Colaboratory
 
 Google Colaboratory, commonly known as Google Colab, was developed by Google Research in 2017. It is a free online cloud-based Jupyter Notebook environment that allows you to train your machine learning and deep learning models on CPUs, GPUs, and TPUs. The motivation behind developing Google Colab was Google's broader goals to advance AI technology and educational tools, and encourage the use of cloud services.
 
-You can use Google Colab regardless of the specifications and configurations of your local computer. All you need is a Google account and a web browser, and you’re good to go.
+You can use Google Colab regardless of the specifications and configurations of your local computer. All you need is a Google account and a web browser, and you're good to go.
 
 ## Training YOLOv8 Using Google Colaboratory
 
@@ -39,10 +39,10 @@ Learn how to train a YOLOv8 model with custom data on YouTube with Nicolai. Chec
 
 ### Common Questions While Working with Google Colab
 
-When working with Google Colab, you might have a few common questions. Let’s answer them.
+When working with Google Colab, you might have a few common questions. Let's answer them.
 
 **Q: Why does my Google Colab session timeout?**  
-A: Google Colab sessions can timeout due to inactivity, especially for free users who have a limited session duration.
+A: Google Colab sessions can time out due to inactivity, especially for free users who have a limited session duration.
 
 **Q: Can I increase the session duration in Google Colab?**  
 A: Free users face limits, but Google Colab Pro offers extended session durations.
@@ -85,7 +85,7 @@ There are many options for training and evaluating YOLOv8 models, so what makes
 
 - **Integration with Google Drive:** Colab seamlessly integrates with Google Drive to make data storage, access, and management simple. Datasets and models can be stored and retrieved directly from Google Drive.
 
-- **Markdown Support:** You can use markdown format for enhanced documentation within notebooks.
+- **Markdown Support:** You can use Markdown format for enhanced documentation within notebooks.
 
 - **Scheduled Execution:** Developers can set notebooks to run automatically at specified times.
 
@@ -93,18 +93,18 @@ There are many options for training and evaluating YOLOv8 models, so what makes
 
 ## Keep Learning about Google Colab
 
-If you’d like to dive deeper into Google Colab, here are a few resources to guide you.
+If you'd like to dive deeper into Google Colab, here are a few resources to guide you.
 
 - **[Training Custom Datasets with Ultralytics YOLOv8 in Google Colab](https://www.ultralytics.com/blog/training-custom-datasets-with-ultralytics-yolov8-in-google-colab)**: Learn how to train custom datasets with Ultralytics YOLOv8 on Google Colab. This comprehensive blog post will take you through the entire process, from initial setup to the training and evaluation stages.
 
 - **[Curated Notebooks](https://colab.google/notebooks/)**: Here you can explore a series of organized and educational notebooks, each grouped by specific topic areas.
 
-- **[Google Colab’s Medium Page](https://medium.com/google-colab)**: You can find tutorials, updates, and community contributions here that can help you better understand and utilize this tool.
+- **[Google Colab's Medium Page](https://medium.com/google-colab)**: You can find tutorials, updates, and community contributions here that can help you better understand and utilize this tool.
 
 ## Summary
 
-We’ve discussed how you can easily experiment with Ultralytics YOLOv8 models on Google Colab. You can use Google Colab to train and evaluate your models on GPUs and TPUs with a few clicks.
+We've discussed how you can easily experiment with Ultralytics YOLOv8 models on Google Colab. You can use Google Colab to train and evaluate your models on GPUs and TPUs with a few clicks.
 
-For more details, visit [Google Colab’s FAQ page](https://research.google.com/colaboratory/intl/en-GB/faq.html).
+For more details, visit [Google Colab's FAQ page](https://research.google.com/colaboratory/intl/en-GB/faq.html).
 
 Interested in more YOLOv8 integrations? Visit the [Ultralytics integration guide page](index.md) to explore additional tools and capabilities that can improve your machine-learning projects.