Deliverables: At the end of the week, you will submit a single PDF file with your notebook and your slides. Keep in mind, you are limited to a 10MB PDF, so be judicious about including high-resolution images in your submitted presentation and notebook.
To save your Jupyter notebook as a PDF, File -> Print will open a static view of the notebook in your browser. You may then use your computer’s Print or Save functionality to save the page as a PDF.
There are requirements and rubric in Word, plz follow all of it
there are 3 cases as example.
Where to find datasets
There are a surprising number of open datasets on the web. There are also a number of excellent websites which help keep track of where to find datasets. Rather than attempt to recreate the good work from these teams, here’s where you can find these collections: UCI’s Machine Learning Repository – UC Irvine maintains a fantastic collection of datasets for machine learning, tagged by machine learning task (among other things). If you want to try out the ideas from ML Week, this is the place to start. Kaggle – Online collection of datasets. Kaggle also has competitions for data mining and information about jobs in data science. KDnuggets Dataset – Another collection of datasets – most of the datasets are free. Within KDnuggets, there are links for government data, Data APIs, and Data Mining Competitions. If this seems like information overload, feel free to just get started with data at some of our favorite sites: US Government Data, UK Government Data, Canada’s Open Data Exchange, World Health Organization, and the World Bank.