Titanic | solution for Kaggle competitions Titanic | Machine Learning library

by chenxijun1029 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Titanic Summary

Titanic is a Python library typically used in Artificial Intelligence, Machine Learning applications. Titanic has no bugs, it has no vulnerabilities and it has low support. However Titanic build file is not available. You can download it from GitHub.

This project is a solution for a Kaggle competition named "Titanic".

Support

Quality

Security

License

Reuse

Support

Titanic has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Titanic has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Titanic is current.

Quality

Titanic has 0 bugs and 0 code smells.

Security

Titanic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Titanic code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Titanic does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Titanic releases are not available. You will need to build from source code and install.

Titanic has no build file. You will be need to create the build yourself to build the component from source.

It has 63 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Titanic

Get all kandi verified functions for this library.

Titanic Key Features

No Key Features are available at this moment for Titanic.

Titanic Examples and Code Snippets

No Code Snippets are available at this moment for Titanic.

Community Discussions

Trending Discussions on Titanic

How do I add within-group percentages as bar labels on a seaborn count plot?

pd.get_dummies() not converting categorical data to one hot encoded vectors when multiple features are used

What does the error "single-row subquery returns more than one row" means and how to fix it?

Is there an alternative way to fit Poisson model in R besides using glm?

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). df[condition]

TypeError: Cannot index by location index with a non-integer key in for loop

Flexible placement of labels in seaborn barplots

How can I change a Panda Dataframe so that the values are strictly between 0 and 1 while preserving the NaNs?

Change numericInput value based on selected row

Adding columns & values per group occurrence in pandas after filtering

QUESTION

How do I add within-group percentages as bar labels on a seaborn count plot?

Asked 2022-Mar-26 at 04:15

My goal is to create barplots with counts on the y axis and have the bars labelled with the percentage of the group. The code below gets me halfway there -

...

ANSWER

Answered 2022-Mar-26 at 04:15

Generate within-feature proportions manually, e.g. for feature sex:

Compute the proportions of survived within each sex using groupby.value_counts()
Access a given bar's proportion via its group (male/female sex) and label (0/1 survived)
- The groups will be ordered differently per dtype, so unique() won't always work (see the full example in the next section)
- The label of a container c is c.get_label(), which can be converted to the appropriate type via df[hue].dtype.type

Source https://stackoverflow.com/questions/71549867

QUESTION

pd.get_dummies() not converting categorical data to one hot encoded vectors when multiple features are used

Asked 2022-Mar-18 at 13:24

I just got started on Kaggle and for my first project I was working on the Titanic dataset.

I ran the following codeblock

...

ANSWER

Answered 2022-Mar-18 at 13:24

Use OneHotEncoder from sklearn

Source https://stackoverflow.com/questions/71527470

QUESTION

What does the error "single-row subquery returns more than one row" means and how to fix it?

Asked 2022-Feb-21 at 09:25

I'm trying to query for all movies that have a higher score than a randomly selected movie score. I don't understand the error to fix my query.

List the titles of movies that have a higher score than some movie in the database.
(Don't hardcode "some" movie as any specific movie such as "Titanic".)

...

ANSWER

Answered 2022-Feb-21 at 01:40

The sub-query SELECT SCORE FROM MOVIE does not return a random score of a movie in other words a scalar but a list of scores. You can't compare a scalar to the left of the > to a list at its right (the result of the sub-query). This is syntactically wrong. You can correct this in many different ways. It depends on what you want. Here are some working examples with > operator:

Source https://stackoverflow.com/questions/71200103

QUESTION

Is there an alternative way to fit Poisson model in R besides using glm?

Asked 2022-Feb-15 at 00:19

I get an error when I try to fit Poisson model in a given dataset in R. Am struggling to understand the cause of the error.

...

ANSWER

Answered 2022-Feb-15 at 00:19

You might be confused. You can't fit a Poisson to a categorical response. You could fit a Poisson to binary data after converting survival "yes"/"no" to 0/1, but it doesn't really make sense:

Source https://stackoverflow.com/questions/71117739

QUESTION

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). df[condition]

Asked 2022-Jan-22 at 03:34

If the data in the column 'embark_town' is 'Southampton', I want to change them all to 'manchester'. So after accessing the data with condition setting, I applied the 'apply' function. What's the problem?

...

ANSWER

Answered 2022-Jan-22 at 03:34

As Michael Szczesny also pointed out in the comment. DataFrame.apply uses a Series as input. The change(name) function defined expects a string. The message ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). comes from trying to compare a Series to a string.

One fix pointed out by Register Sole is to use conditions instead.

Source https://stackoverflow.com/questions/70809477

QUESTION

TypeError: Cannot index by location index with a non-integer key in for loop

Asked 2022-Jan-21 at 13:47

While touring the "class" column, I want to change the value to "01" if the data value is "one", "02" if it is "two", and "03" if it is "three", what's the problem?

...

ANSWER

Answered 2022-Jan-21 at 13:47

As outlined in comment, pandas.DataFrame.iloc only takes integers as indexers. Or, given how you iterate over df['class'], it turns out that your xs are strings of characters. Hence the TypeError you get.

That being said, if you want to replace your occurrence by something else, what about using pandas.Series.map, as follows:

Source https://stackoverflow.com/questions/70802091

QUESTION

Flexible placement of labels in seaborn barplots

Asked 2022-Jan-15 at 21:06

I would like to place labels on bars in Seaborn depending on how much space there is available.

For example in the example below I would like to use outside labels if they fit on the figure and inside labels when they don't. I would like to do this automatically for many plots, so I am looking for a smart way to do this flexibly. Any ideas?

...

ANSWER

Answered 2022-Jan-15 at 21:06

Does this help?

Source https://stackoverflow.com/questions/70693878

QUESTION

How can I change a Panda Dataframe so that the values are strictly between 0 and 1 while preserving the NaNs?

Asked 2022-Jan-02 at 08:19

I am working on the Kaggle Titanic problem. I have a function that creates cross products of survival means by characteristics of the passengers. For SibSp by Embarked I get the following survival table:

...

ANSWER

Answered 2022-Jan-02 at 08:19

Try:

Source https://stackoverflow.com/questions/70552260

QUESTION

Change numericInput value based on selected row

Asked 2021-Dec-12 at 05:32

I made a flowchart that changes based on numeric input the user provides. Now I want the user to be able to select a row from a table, and depending on what the user selected, the value of the numeric input changes.

In this example, selecting a movie title would change the numeric input "ticket price" based on a data frame with movie information. However, the user would be free to simply ignore the selectInput if they want to.

I already have the select input widget. I want it so that the widget reads the information of movie titles from the data frame with movie information.

I made this working example:

...

ANSWER

Answered 2021-Dec-12 at 05:32

We can combine datatable with updateNumericInput and updateSelectInput.

Source https://stackoverflow.com/questions/70320676

QUESTION

Adding columns & values per group occurrence in pandas after filtering

Asked 2021-Dec-03 at 09:52

I have a df

...

ANSWER

Answered 2021-Dec-03 at 09:52

Use cut with crosstab and add DataFrame.add_prefix:

Source https://stackoverflow.com/questions/70212172

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Titanic

You can download it from GitHub.
You can use Titanic like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: