CENG 499: Introduction to Data Science

Submit your project notebooks (.ipynb) to webonline by Tuesday the latest.

Make sure you have a lot of comments as well the following:

- Team and project info

- Dataset (link to source, explanation of data)

- Step by step instructions for code

- Interpretation of graphical or tabular results (what you learned)

Please reply to this post with the following:

• Team name or acronym
• Team members (at most 2 students)
• Title
• Data (explain where you will get the data from, the source of it – whether downloaded, scraped from the web, or obtained via an API, the expected size of the data, and the data elements in the set)
• Description (explain the aim of the project)
• Goals (what data analysis results do you expect to achieve?)
• Tools (libraries, etc.)

Hello everyone,
I have listed examples of datasets for the group project, you can use the following list:

1. Video Game Sales with Ratings
Link: https://www.kaggle.com/rush4ratio/video-game-sales-with-ratings

2. Students' Academic Performance Dataset
Link: https://www.kaggle.com/aljarah/xAPI-Edu-Data

3. Video Game Sales
Link: https://www.kaggle.com/gregorut/videogamesales

4. Super Heroes Dataset
Link: https://www.kaggle.com/claudiodavi/superhero-set#heroes_information.csv

5. Pokémon for Data Mining and Machine Learning
Link: https://www.kaggle.com/alopez247/pokemon

6. Game of Thrones
Link: https://www.kaggle.com/mylesoneill/game-of-thrones

7. Google Play Store Apps
Link: https://www.kaggle.com/lava18/google-play-store-apps

8. IMDb Top 50 Movies
Link: https://www.kaggle.com/aditya1303/imdb-top-50-movies

9. Chocolate Bar Ratings
Link: https://www.kaggle.com/rtatman/chocolate-bar-ratings

10. World Happiness Report
Link: https://www.kaggle.com/unsdsn/world-happiness

11. FIFA World Cup
Link: https://www.kaggle.com/abecklas/fifa-world-cup

12. Human Resources Data Set
Link: https://www.kaggle.com/rhuebner/human-resources-data-set

Note: If you have appropriate dataset in above list, Please inform to Erdoğan teacher about which dataset to use before starting the project.

Regards and happy coding!

Akın.

Akın pointed out to https://colab.research.google.com

It is a great please to write python code in jupyter mode online. Both editing and executing code, as well as sharing with others.

I wrote my first ipynb on colab and here it is, from the last class. Counting the words in Shakespeare's works.

Title: Example: Shakespeare Word Count

https://colab.research.google.com/drive/1wHqesI7j2R-F0W4vq4VPuW3jtAz-tBG5

If you have a google account, go to your drive, add a new file and check Collaboratory. That's it, you are there to create your first ipynb. Happy coding.

Lecture date: Nov 8, 2018

You can view it on the course page: https://piazza.com/cankaya.edu.tr/fall2018/ceng499/resources

The teaching staff has posted a new homework resource.

Title: Asg 3 - twitter_api.ipynb (Fall 2018)
http://www.piazza.com/class_profile/get_resource/jmkg3poi53j3zm/jo8n1fp8qjh17h

Due date: Nov 15, 2018

You can view it on the course page: https://piazza.com/cankaya.edu.tr/fall2018/ceng499/resources

Welcome to Python and Data Science world.

İlk ödeviniz burada. 

Title: Asg1 - Intro to Python for DS
http://www.piazza.com/class_profile/get_resource/jmkg3poi53j3zm/jmt3ov4fmy86le

Due date: Oct 10, 2018

You can view it on the course page: https://piazza.com/cankaya.edu.tr/fall2018/ceng499/resources