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tomazc merged 1 commit into from
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DN1 popravki #47

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40 changes: 17 additions & 23 deletions notebooks/src/301-priprava_pregled.ipynb
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"source": [
"### Podatki\n",
"\n",
"V nalogi boste pregledali in pripravili podatke gledanosti Hollywoodskih filmov\n",
"zbirke [MovieLens](https://grouplens.org/datasets/movielens/) v obdobju **1995-2016**.\n",
"V nalogi boste pregledali in pripravili podatke gledanosti filmov zbirke [MovieLens](https://grouplens.org/datasets/movielens/).\n",
"\n",
"Iste podatke boste uporabili v vseh nalogah, zato jih dodobra spoznajte. Gre za podatkovno zbirko za\n",
"vrednotenje priporočilnih sistemov, ki vsebuje gledalce ter njihove ocene za posamezni film na lestvici 1 do 5. \n",
"Poleg osnovne matrike uporabnikov in ocen vsebuje še dodatne podatke o filmih (npr. žanr, datum, oznake,\n",
"igralci).\n",
"Iste podatke boste uporabili v vseh nalogah, zato jih dodobra spoznajte. Gre za podatkovno zbirko za vrednotenje priporočilnih sistemov, ki vsebuje gledalce ter njihove ocene za posamezni film na lestvici 1 do 5. \n",
"Poleg osnovne matrike uporabnikov in ocen vsebuje še dodatne podatke o filmih (npr. žanr, datum, oznake, igralci).\n",
"\n",
"Podatki so v mapi `./podatki/ml-latest-small`. Podatkovna zbirka vsebuje naslednje datoteke:\n",
"Podatke poberite [s spleta](https://files.grouplens.org/datasets/movielens/ml-32m.zip) in jih odpakirajte v mapo `./data`, kjer vas že čaka datoteka `cast.csv`. Podatkovna zbirka vsebuje naslednje datoteke:\n",
"\n",
"* ratings.csv: podatki o uporabnikih in ocenah,\n",
"* movies.csv: podatki o žanrih filmov,\n",
"* cast.csv: podatki o igralcih,\n",
"* tags.csv: podatki o oznakah (ang. \\emph{tags}),\n",
"* tags.csv: podatki o oznakah (ang. *tags*),\n",
"* links.csv: povezave na sorodne podatkovne zbirke.\n",
"\n",
"Pred pričetkom reševanja naloge si dobro oglejte podatke in datoteko **README.txt**. \n",
"\n",
"Pred pričetkom reševanja naloge si dobro oglejte podatke in datoteko **README.txt**. Podrobnosti o zbirki lahko preberete na [spletni strani](http://files.grouplens.org/datasets/movielens/ml-latest-small-README.html).\n",
"Pripravite metode za nalaganje podatkov v ustrezne podatkovne strukture. Te vam bodo prišle prav tudi pri nadaljnjih nalogah.\n",
"\n",
"Pripravite metode za nalaganje podatkov v ustrezne podatkovne strukture. Te vam bodo prišle\n",
"prav tudi pri nadaljnjih nalogah.\n",
"Bodite pozorni na velikost podatkov."
"Podatkov **NE** nalagajte na svoje repozitorije"
]
},
{
Expand All @@ -99,26 +95,24 @@
"source": [
"### Data\n",
"\n",
"In the task you will review and prepare Hollywood movie ratings from\n",
"the [MovieLens](https://grouplens.org/datasets/movielens/) collection from the period **1995-2016**.\n",
"In the task you will review and prepare movie ratings from the [MovieLens](https://grouplens.org/datasets/movielens/) collection.\n",
"\n",
"The same data is used in all assignments, so you should get to know the data well. This is a database for\n",
"evaluating recommendations systems that include viewers and their ratings on a scale of 1 to 5.\n",
"In addition to the basic user and rating matrix, it includes also movie information (e.g., genre, date, tags, players).\n",
"The same data is used in all assignments, so you should get to know the data well. This is a dataset for evaluating recommendations systems that include viewers and their ratings on a scale of 1 to 5.\n",
"In addition to the basic user and rating matrix, it includes also movie information (e.g., genre, date, tags, actors).\n",
"\n",
"The dataset is in folder `./podatki/ml-latest-small`. The database contains the following files:\n",
"Download the dataset [from the web](https://files.grouplens.org/datasets/movielens/ml-32m.zip) and unpack it in the folder `./data`, where you already have the file `cast.csv`. The dataset contains the following files:\n",
"\n",
"* ratings.csv: user data and ratings,\n",
"* movies.csv: movie genre information,\n",
"* cast.csv: player information,\n",
"* tags.csv: tag information (\\emph{tags}),\n",
"* cast.csv: actors information,\n",
"* tags.csv: tag information,\n",
"* links.csv: links to related databases.\n",
"\n",
"Before starting to solve the task, take a good look at the data and read the **README.txt** file. You can learn about the details on the [website](http://files.grouplens.org/datasets/movielens/ml-latest-small-README.html).\n",
"\n",
"Prepare methods for loading data into the appropriate data structures. They will come in handy\n",
"also for further tasks.\n",
"Pay attention to the size of the data."
"Prepare methods for loading data into the appropriate data structures. They will come in handy also for further tasks.\n",
"\n",
"**Don't** uplod the data to you repositories."
]
},
{
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