datacamp | Data sharing and management web application | Database library
kandi X-RAY | datacamp Summary
kandi X-RAY | datacamp Summary
Datacamp is a Web application for publishing, searching and managing data in form of datasets. LICENSE (see COPYING file for full license text). This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. Stefan Urbanek stefan@knowerce.sk - architecture design, back-end programming Vojto Rinik vojto@rinik.net - main application programming.
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Top functions reviewed by kandi - BETA
- Create an attribute accessor .
- This creates all the datasets for a specific dataset
- Loads Ruby code from Rails .
- Validates if a given locale is present
- Update page settings
- Create a new page
- Loads the configuration .
- This method should be called before the controller .
- Returns true if the object is authorized to see if this object is allowed
- Returns the value of a variable .
datacamp Key Features
datacamp Examples and Code Snippets
Community Discussions
Trending Discussions on datacamp
QUESTION
Introduction
I'm learning the basics of AI. I have created a .csv file with random data to test Decision Trees. I'm currently using R in Jupyther Notebook.
Problem
Temperature, Humidity and Wind are the variables which determine if you are allowed to fly or not.
When I execute ctree(vuelo~., data=vuelo.csv)
the output it's just a single node when I was expecting a full tree with the variables (Temperatura, Humdedad, Viento), as I resolved on paper.
The data used is the next table:
...ANSWER
Answered 2021-May-16 at 10:22Answer
ctree
only creates splits if those reach statistical significance (see ?ctree
for the underlying tests). In your case, none of the splits do so, and therefore no splits are provided.
In your case, you could force a full tree by messing with the controls (see ?ctree
and ?ctree_control
), e.g. like this:
QUESTION
Can I take 'outer' class Attributes and use them in 'inner' class ?
I want to make an outer class that contains the name and age of a man and the inner class contains the age of a man.... I tried this way but VSC told me that this is a syntax error
I tried to search for a way to inherit from 'father_city' class and I found this but I didn't understand it
...ANSWER
Answered 2021-May-15 at 03:48your show_age method has a syntax error,when using '
inside a fstring you should use "
to surround the string.
QUESTION
I have a general question but no one is able to give me answer of that i did lot of search in official docs of python and other sources such as bootcamp and datacamp.
Issue is that i have read every where that numpy does not support hetrogenous data types (OFFICIAL DOCS)
But, when i write the code below it works fine. So, if numpy does not support heterogenous data types then why coding allows??
...ANSWER
Answered 2021-May-11 at 09:50I tried it out and actually it is homogeneous! Check this out:
QUESTION
I am trying to finish a Pandas course using Python on DataCamp and got into an issues. I got the solutions but I just want to ask. The quiz is simple: Using a numpy functions on a group of data
This is their suggested tips to complete this small quiz:
...ANSWER
Answered 2021-Apr-19 at 19:33You're very close, but the correct syntax would be:
QUESTION
I copied the code from datacamp to try the Naive Bayes classification on my own on python 3.8 . but when run the code the compiler gives this error
...ANSWER
Answered 2021-Apr-14 at 19:59What happens is that features should be a list to be passed to model.fit, currently they are type zip
QUESTION
Below code copyrighted by Datacamp from Python course exercise that I am taking.
I have been given a csv file and The dataset contains Twitter data and I had to iterate over entries in a column to build a dictionary in which the keys are the names of languages and the values are the number of tweets in the given language. The resulting code is correct and working. However , I cannot quite understand how code works in the if-else statement part.
The output of the code is:
{'en': 97, 'et': 1, 'und': 2}
My question is: How can we get the given output above. What happens exactly inside the code in for loop and if-else.
ANSWER
Answered 2021-Feb-28 at 14:43I added some explanatory notes in the for | if | else
to improve the understanding of the code as requested.
I changed the dataset to a minimum example, for the simplicity to explain.
As a general tip: Pandas has a built-in method (value_counts
) that does the same.
QUESTION
I'm trying to do a simple content based filtering model on the Yelp dataset with data about the restaurants.
I have a DataFrame in this format
ANSWER
Answered 2021-Feb-27 at 15:02Let us assume that the CountVectorize
r gives you a matrix C
of shape (N, m)
where N
= number of restaurants and m = number of features (here the count of the words).
Now since you want to add numerical features, say you have k
such features. You can simply compute these features for each movie and concatenate them to the matrix C
. So for each movie now you will have (m+k)
features. The shape of C
will now be (N, m+k)
. You can use pandas to concatenate.
Now you can simply compute the Cosine Similarity using this matrix and that way you are taking into account the text features as well as the numeric features
However, I would strongly suggest you normalize these values, as some of the numeric features might have larger magnitudes which might lead to poor results. Also instead of the CountVectorizer
, TFIDF matrix or even word embeddings might give you better results
QUESTION
I am a novice in web scraping in python. I studied this article to know more about web scraping and tried to implement my first project in web scraping. However, I got stuck on the first portion of the code block.
Code
...ANSWER
Answered 2021-Feb-22 at 11:36You don't have the correct url. If you go to the that url 'https://www.amazon.com/Best-Sellers-Womens-Fashion-Sneakers/zgbs/fashion/6793940111?ie=UTF8&pg=1
' that you are feeding in, you'll see their "Sorry can't find that page" message.
I also made a few modifications to the code. I'm not a fan of creating a list of lists. The create a list of lists, and then append that to another list. I don't know why they would do that. It then needs an extra line of code to flatten out a nested list of list of lists, which they do at
QUESTION
I've been using DataCamp to learn SQL. The first statement returned correct but the second returned incorrect. I'm having a hard time understanding why the second is incorrect since the aliasing should make them equivalents.
Statement 1
SELECT c.name AS city, l.name AS language FROM cities AS c CROSS JOIN languages AS l
Statement 2
SELECT cities.name AS city, languages.name AS language FROM cities AS c CROSS JOIN languages AS l
ANSWER
Answered 2021-Feb-07 at 15:21Yes, table alias renames the table in the context of the query, making the original name inaccessible.
For example, from PostgreSQL documentation:
The alias becomes the new name of the table reference so far as the current query is concerned — it is not allowed to refer to the table by the original name elsewhere in the query.
QUESTION
I have created a Pandas Data frame
by importing a pickle ('P')
file using pd.read_pickle()
. Below is the head info of the data frame. It looks like the values are created where there is no data. I want convert these
values into
np.nan
.
ANSWER
Answered 2021-Feb-04 at 11:17If replace missing values NaN
to floats get np.nan
, because in original column is used integer na:
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