Unit0 typos, grammar, etc.

units/en/unit0/discord101.mdx

@@ -1,7 +1,7 @@
 # Discord 101 [[discord-101]]
 
 Hey there! My name is Huggy, the dog 🐕, and I'm looking forward to train with you during this RL Course!
-Although I don't know much about bringing sticks (yet), I know one or two things about Discord. So I wrote this guide to help you learn about it!
+Although I don't know much about fetching sticks (yet), I know one or two things about Discord. So I wrote this guide to help you learn about it!
 
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/huggy-logo.jpg" alt="Huggy Logo"/>
 

units/en/unit0/introduction.mdx

@@ -9,11 +9,11 @@ This course will **teach you about Deep Reinforcement Learning from beginner to
 In this introduction unit you’ll:
 
 - Learn more about the **course content**.
-- **Define the path** you’re going to take (either self-audit or certification process)
-- Learn more about the **AI vs. AI challenges** you're going to participate to.
+- **Define the path** you’re going to take (either self-audit or certification process).
+- Learn more about the **AI vs. AI challenges** you're going to participate in.
 - Learn more **about us**.
 - **Create your Hugging Face account** (it’s free).
-- **Sign-up our Discord server**, the place where you can exchange with your classmates and us (the Hugging Face team).
+- **Sign-up to our Discord server**, the place where you can chat with your classmates and us (the Hugging Face team).
 
 Let’s get started!
 
@@ -29,7 +29,7 @@ In this course, you will:
 
 And more!
 
-At the end of this course, **you’ll get a solid foundation from the basics to the SOTA (state-of-the-art) methods**.
+At the end of this course, **you’ll get a solid foundation from the basics to the SOTA (state-of-the-art) of methods**.
 
 You can find the syllabus on our website 👉 <a href="https://simoninithomas.github.io/deep-rl-course/">here</a>
 
@@ -43,7 +43,7 @@ The course is composed of:
 
 - *A theory part*: where you learn a **concept in theory (article)**.
 - *A hands-on*: where you’ll learn **to use famous Deep RL libraries** to train your agents in unique environments. These hands-on will be **Google Colab notebooks with companion tutorial videos** if you prefer learning with video format!
-- *Challenges*: you'll get to put your agent to compete against other agents in different challenges. There will also be leaderboards for you to compare the agents' performance.
+- *Challenges*: you'll get to use your agent to compete against other agents in different challenges. There will also be leaderboards for you to compare the agents' performance.
 
 
 ## Two paths: choose your own adventure [[two-paths]]
@@ -52,8 +52,8 @@ The course is composed of:
 
 You can choose to follow this course either:
 
-- *To get a certificate of completion*: you need to complete 80% of the assignments before the end of June 2023.
-- *To get a certificate of honors*: you need to complete 100% of the assignments before the end of June 2023.
+- *To get a certificate of completion*: you need to complete 80% of the assignments before the beginning of June 2023.
+- *To get a certificate of honors*: you need to complete 100% of the assignments before the beginning of June 2023.
 - *As a simple audit*: you can participate in all challenges and do assignments if you want, but you have no deadlines.
 
 Both paths **are completely free**.
@@ -65,8 +65,8 @@ You don't need to tell us which path you choose. **If you get more than 80% of t
 
 The certification process is **completely free**:
 
-- *To get a certificate of completion*: you need to complete 80% of the assignments before the end of June 2023.
-- *To get a certificate of honors*: you need to complete 100% of the assignments before the end of June 2023.
+- *To get a certificate of completion*: you need to complete 80% of the assignments before the beginning of June 2023.
+- *To get a certificate of honors*: you need to complete 100% of the assignments before the beginning of June 2023.
 
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/certification.jpg" alt="Course certification" width="100%"/>
 
@@ -101,7 +101,7 @@ We publish **a new unit every Tuesday**.
 
 ## What is the recommended pace? [[recommended-pace]]
 
-We defined a planning that you can follow to keep up the pace of the course.
+We defined a plan that you can follow to keep up the pace of the course.
 
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/pace1.jpg" alt="Course advice" width="100%"/>
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/pace2.jpg" alt="Course advice" width="100%"/>

units/en/unit0/setup.mdx

@@ -11,7 +11,7 @@ After all this information, it's time to get started. We're going to do two thin
 
 ### Let's join our Discord server
 
-You can now sign up for our Discord Server. This is the place where you **can exchange with the community and with us, create and join study groups to grow each other and more**
+You can now sign up for our Discord Server. This is the place where you **can chat with the community and with us, create and join study groups to grow with each other and more**
 
 👉🏻 Join our discord server <a href="https://discord.gg/ydHrjt3WP5">here.</a>
 
@@ -19,7 +19,7 @@ When you join, remember to introduce yourself in #introduce-yourself and sign-up
 
 We have multiple RL-related channels:
 - `rl-announcements`: where we give the latest information about the course.
-- `rl-discussions`: where you can exchange about RL and share information.
+- `rl-discussions`: where you can chat about RL and share information.
 - `rl-study-group`: where you can create and join study groups.
 - `rl-i-made-this`: where you can share your projects and models.