lean-in-igdtuw / ml-circle-20-21

This repository contains the study materials for Lean In Machine Learning Circle 2020-21 Cohort.

ML-Circle-20-21

This repository contains the study materials for Lean In Machine Learning Circle 2020-21 Cohort.

Date	Topic	Resources
22nd Jan 2021	Orientation	PPT
25th Jan 2021	Git and GitHub	PPT
31st Jan 2021	Python for ML	HackerRank Practice
5th Feb 2021	Doubt Session	Refer Recording
22nd Feb 2021	Python Libraries	Python Data Science Handbook
4th March 2021	Data Collection	Refer Recording
19th March 2021	KNN	PPT
22nd March 2021	Linear Regression	PDF
26th March 2021	Naive Bayes	PPT
11th April 2021	Logistic Regression and Decision Tree	Refer recording and PPT
14th April 2021	K-Means Clustering	PPT

ml-circle-20-21's Issues

GitHub Task

After completion of this task add a comment below with your repository link.

Python Assignment Submission

The following steps will help you submit the latest Python Assignment on GitHub:

1. Fork this original repository.

On Git Bash
2. cd to the location you want to clone your repository.
3. Clone the forked repository (newly created repository on your GitHub Profile) using:
git clone <url of forked repo>
4. cd to that repository and check git status to see if everything is fine.
5. Add a Git remote (say named upstream) for the original repository using the command:
git remote add upstream https://github.com/Lean-IN-IGDTUW/ML-Circle-20-21.git
Check if everything worked fine with git remote -v command and make sure that origin should point to repo on your profile and upstream should point to the original repo (in the Lean In organization like shown below):

6. Update any changes (if any) using:
   git checkout main
git pull upstream main
git push origin main
   Enter username and password, if prompt.
7. Create a branch to work on and checkout/switch to it.
   git checkout -b <branch name>

On Anaconda Prompt
8. Open the cloned repository in Jupyter Notebook
9. Go to Python-Session/Submissions and copy the Assignment 1.ipynb in the same folder and name it as your GitHub-name.
10. Start solving the assignment and save when done.

On Git Bash
11. Check git status to know if only the required files are changed.
12. Do the following:
* git add .
* git commit -m "<commit message>"
* git push origin <branch name>
13. Open the this repository. It must be showing that a new branch is pushed.
14. Click Pull request or Compare
15. Create a pull request.

On Git Bash
Once the Pull Request gets merged update your origin and local main with the changes in upstream using:
git checkout main
git pull upstream main
git push origin main

Congratulations for completing an Open Source Workflow!

Note: You can read more about these steps here

Python Libraries Assignment Submission

Note: The following steps assume that you have completed the previous Python assignment as some steps were one-timer only.

1. Do git bash on the ML-Circle-20-21 folder on your system.
2. Follow steps 6 till the end of the previous assignment submission steps. The only difference here would be that now the assignment is in Python-Libraries/submissions/ location. Do the same way as did previously, copy the assignment notebook and rename it as your GitHub username and then complete it and save the notebook.

In case of any doubt, feel free to comment your doubt below or ask on the WhatsApp group.
All the Best! 🚀