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-title: Task 2 ( 12th May 2023 )
-date: 2023-05-12 
-tags: Weekly tasks
-domain: AI
----
-
-# AI | Task 2
-### Submission Deadline : 04-06-2023 23:59
-<hr>
-
-## About Kaggle 🔧
-Kaggle is a free ML/AI platform in which you can find datasets, code and participate in interesting ML competetions 🏆 . It has a cloud notebook system in which you can use the datasets online and code in the cloud ! (how cool is that ?! theres more..) and we are provided with 2 GPU and 2 TPU accelerators 😄 ( _30 hrs/week_ 😐 ) for accelerating Neural Network training !!!
-
-You need to create an account and search for datasets in the sidebar.
-There will be a search bar in the top the datasets section. You can search you dataset and click the "Create Notebook" button which will get you to your notebook where you can code stuff 💻.
-
-### References 📖 :  
-
-Kaggle : https://www.kaggle.com  
-Kaggle Docs : https://www.kaggle.com/docs  
-
-<hr>
-
-### Question 1 : Intro to Machine Learning
-
-Learn the core ideas in machine learning, and build your first models.
-
-Complete the following course in [kaggle](https://www.kaggle.com/learn/intro-to-machine-learning)
-
-```
-https://www.kaggle.com/learn/intro-to-machine-learning
-```
-- Submit the completion certificate in the submission portal.
-- Submit each of the notebook you created in the submission portal.
-- Time to complete the course: 3 hours
-<hr>
-
-### Question 2 : Intermediate Machine Learning
-
-Handle missing values, non-numeric values, data leakage, and more..
-
-Complete the following course in [kaggle](https://www.kaggle.com/learn/intermediate-machine-learning)
-
-```
-https://www.kaggle.com/learn/intermediate-machine-learning
-```
-- Submit the completion certificate in the submission portal.
-- Submit each of the notebook you created in the submission portal.
-- Time to complete the course: 4 hours
-<hr >
-
-### Question 3 : Data Cleaning
-Master efficient workflows for cleaning real-world, messy data.
-
-Complete the following course in [kaggle](https://www.kaggle.com/learn/data-cleaning)
-
-```
-https://www.kaggle.com/learn/data-cleaning
-```
-- Time to complete the course: 4 hours
-
-<hr >
-
-- Create a github repository named "Kaggle-Course-AI-ML" and upload all the notebooks you created in the submission portal.
-- Upload all the certificates you got in the submission portal in the github repository.
-- Submit the github repository link in the submission portal. 
-
-<hr >
-
-### Total Learning Hours : 11 hours 
-
-### Submit here : [Submission link](https://forms.gle/MS1o3p9JvD9mWTXeA)
-
-<hr>