From 5b38bb3491e7ce1fa70311a2a6f69247fb2bf370 Mon Sep 17 00:00:00 2001
From: Mathi <152358838+mathi7585@users.noreply.github.com>
Date: Sun, 29 Sep 2024 18:09:34 +0530
Subject: [PATCH 1/2] Update Day-2-Assignments.md

---
 Day#2/Day-2-Assignments.md | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/Day#2/Day-2-Assignments.md b/Day#2/Day-2-Assignments.md
index f1dce35..a3b01a1 100644
--- a/Day#2/Day-2-Assignments.md
+++ b/Day#2/Day-2-Assignments.md
@@ -5,12 +5,12 @@
 
 | Status         | Questions     | 
 |----------------|---------------|
-| <ul><li>- [ ] </li></ul> | Create a simple machine-learning application & verify the prediction based on the given score |
-| <ul><li>- [ ] </li></ul> | Create a simple machine-learning application & verify the accuracy |
-| <ul><li>- [ ] </li></ul> | [Docker Compose] Create a docker-compose file for the 2 images: your flask app and the machine learning app and run the same view the page in browser |
-| <ul><li>- [ ] </li></ul> | Commit all the code to GitHub Repo |
-| <ul><li>- [ ] </li></ul> | Document all the learnings with screenshots in the GitHub Wiki / in .md file |
-| <ul><li>- [ ] </li></ul> | Create a post on Linkedin  |
+| <ul><li>- [x] </li></ul> | Create a simple machine-learning application & verify the prediction based on the given score |
+| <ul><li>- [x] </li></ul> | Create a simple machine-learning application & verify the accuracy |
+| <ul><li>- [x] </li></ul> | [Docker Compose] Create a docker-compose file for the 2 images: your flask app and the machine learning app and run the same view the page in browser |
+| <ul><li>- [x] </li></ul> | Commit all the code to GitHub Repo |
+| <ul><li>- [x] </li></ul> | Document all the learnings with screenshots in the GitHub Wiki / in .md file |
+| <ul><li>- [x] </li></ul> | Create a post on Linkedin  |
 
 ***
 
@@ -24,7 +24,8 @@
 
 #### #1 Create a simple machine learning application. Execute the program in local and verify the prediction based on the given score. 
 #### Write the Dockerfile & create the docker image named : ml-docker-app-flask. Run the docker image and verify the prediction based on the given score. Tag the image in this format : <dockerhub-username>: ml-docker-app-flask. Push the image to DockerHub	
-> Add your answer here!
+<img width="822" alt="Screenshot 2024-09-29 at 15 49 54" src="https://github.com/user-attachments/assets/1ebc5416-5a9e-45b0-82fe-3c4c252c0751">
+<img width="1440" alt="Screenshot 2024-09-29 at 18 08 39" src="https://github.com/user-attachments/assets/3b05cb2c-ff17-4b38-aa38-640d085bd44f">
 
 ***
 

From b171a71d34e042509b7ffb7e5116fdc815f28b32 Mon Sep 17 00:00:00 2001
From: Mathi <152358838+mathi7585@users.noreply.github.com>
Date: Sun, 29 Sep 2024 18:10:23 +0530
Subject: [PATCH 2/2] Update Day-2-Assignments.md

---
 Day#2/Day-2-Assignments.md | 16 +++++++---------
 1 file changed, 7 insertions(+), 9 deletions(-)

diff --git a/Day#2/Day-2-Assignments.md b/Day#2/Day-2-Assignments.md
index a3b01a1..58483d6 100644
--- a/Day#2/Day-2-Assignments.md
+++ b/Day#2/Day-2-Assignments.md
@@ -5,12 +5,12 @@
 
 | Status         | Questions     | 
 |----------------|---------------|
-| <ul><li>- [x] </li></ul> | Create a simple machine-learning application & verify the prediction based on the given score |
-| <ul><li>- [x] </li></ul> | Create a simple machine-learning application & verify the accuracy |
-| <ul><li>- [x] </li></ul> | [Docker Compose] Create a docker-compose file for the 2 images: your flask app and the machine learning app and run the same view the page in browser |
-| <ul><li>- [x] </li></ul> | Commit all the code to GitHub Repo |
-| <ul><li>- [x] </li></ul> | Document all the learnings with screenshots in the GitHub Wiki / in .md file |
-| <ul><li>- [x] </li></ul> | Create a post on Linkedin  |
+| <ul><li>- [ ] </li></ul> | Create a simple machine-learning application & verify the prediction based on the given score |
+| <ul><li>- [ ] </li></ul> | Create a simple machine-learning application & verify the accuracy |
+| <ul><li>- [ ] </li></ul> | [Docker Compose] Create a docker-compose file for the 2 images: your flask app and the machine learning app and run the same view the page in browser |
+| <ul><li>- [ ] </li></ul> | Commit all the code to GitHub Repo |
+| <ul><li>- [ ] </li></ul> | Document all the learnings with screenshots in the GitHub Wiki / in .md file |
+| <ul><li>- [ ] </li></ul> | Create a post on Linkedin  |
 
 ***
 
@@ -24,9 +24,7 @@
 
 #### #1 Create a simple machine learning application. Execute the program in local and verify the prediction based on the given score. 
 #### Write the Dockerfile & create the docker image named : ml-docker-app-flask. Run the docker image and verify the prediction based on the given score. Tag the image in this format : <dockerhub-username>: ml-docker-app-flask. Push the image to DockerHub	
-<img width="822" alt="Screenshot 2024-09-29 at 15 49 54" src="https://github.com/user-attachments/assets/1ebc5416-5a9e-45b0-82fe-3c4c252c0751">
-<img width="1440" alt="Screenshot 2024-09-29 at 18 08 39" src="https://github.com/user-attachments/assets/3b05cb2c-ff17-4b38-aa38-640d085bd44f">
-
+> Add your answer here!
 ***
 
 #### #2 Create a simple machine learning application. Execute the program in local and verify the accuracy