LECTURE NOTEBOOKS
Python 101
Resources
- 1st week
- 2nd week
- 3rd week
- 4th week
- 5th week
- 6th week
- 7th week
- 8th week
- 8th week 2nd
- 9th week
- 10th week
- 11th week
- Last year’s material with the required data files is available to download as a zipped archive.
Data Science 101
Assignments
- I will survive
- Download the dataset (
titanic.csv) from here and fill out the missing values in the survived column based on the cases with existing survived values.
- Download and solve the 0th notebook from here.
- Roses are red, iris are purple
- Build a prediction model on the iris dataset.
- Money-money-money
- Fast&Furious
- Spam-spam-SPAM
- Build a spam filter based on this sms spam dataset.
- The number of digits are too damn high
- Build a hand-written digit recognizer from this digits dataset.
- One does not simply win a race
- Netflix, here I come!
- Create a movie ranking model from the movielens database.
Resources
- Cheatsheet
- Pictures
- 0th week
- 1st week
- 2nd week
- 3rd week
- 4th week
- 5th week
- 6th week
- 7th week
- 8th week
- 9th week
Webscraping and Text mining tutorial
PTN-105
PRESENTATIONS
SZISZ Winter camp roundtable talk (in hungarian)
AI case study: Lensa Match
The raw slides can be found here. However you’ll need to clone or download the whole repository to view the slides in the intended (interactive) way properly.
Rendering the slides requires:
Startup Safary slides (in hungarian)
The raw slides can be found here. However you’ll need to clone or download the whole repository to view the slides in the intended (interactive) way properly.
Rendering the slides requires:
SZISZ30 conference slideshow (in hungarian)
You can view the raw (github rendered) slides here. However you’ll need to clone or download the whole repository to view the slides in the intended (interactive) way properly.
Running the slides requires the following python packages:
- jupyter notebook
- numpy
- pandas
- scikit-learn
- matplotlib
- seaborn
- https://github.com/damianavila/RISE
NYATA2017 conference slideshow (in hungarian)
You can view the raw (github rendered) slides here. However you’ll need to clone or download the whole repository to view the slides in the intended (interactive) way properly. To download and process the required documents, please use this notebook.
Running the slides requires the following python packages:
- jupyter notebook
- numpy
- dask
- distributed
- matplotlib
- seaborn
- https://github.com/damianavila/RISE
EÖTVÖS-EST presentation slideshow (in hungarian)
You can view the raw (github rendered) slides here. However you’ll need to clone or download the whole repository to view the slides in the intended (interactive) way properly.
Running the slides requires the following python packages:
- jupyter notebook
- numpy
- pandas
- scikit-learn
- matplotlib
- seaborn
- https://github.com/damianavila/RISE
