machine-learning | Content for Udacity 's Machine Learning curriculum | Machine Learning library

by udacity Jupyter Notebook Version: Current License: No License

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kandi X-RAY | machine-learning Summary

machine-learning is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. machine-learning has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.

Content for Udacity's Machine Learning curriculum

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machine-learning has a medium active ecosystem.

It has 3783 star(s) with 6379 fork(s). There are 432 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 85 have been closed. On average issues are closed in 473 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of machine-learning is current.

Quality

machine-learning has 0 bugs and 0 code smells.

Security

machine-learning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

machine-learning code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

machine-learning 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

machine-learning releases are not available. You will need to build from source code and install.

It has 1418 lines of code, 72 functions and 12 files.

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

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machine-learning Key Features

No Key Features are available at this moment for machine-learning.

machine-learning Examples and Code Snippets

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Community Discussions

Trending Discussions on machine-learning

Getting Attribute Errors: 'as_matrix' errors

Cannot plot inline plotly charts in Jupyter Notebook using C#

Databricks Feature Store - Can I use native Python (instead of PySpark) to create features?

Getting Error 0 when plotting boxplot of a filtered dataset

Read online excel file with a specific sheet and only selected columns

Fisher score error - Length of value does not match length of index?

'Expected in: /usr/lib/libc++.1.dylib': Installing Tensorflow on M1 MacBook Pro

Using keras.layers.Normalization for preprocessing, the adapt call freezes

How to get correct encoding on R on SQL Server when executing external script in SSMS?

Incorrect images path in production build - Vue.js

QUESTION

Getting Attribute Errors: 'as_matrix' errors

Asked 2022-Mar-25 at 16:15

I'm trying to split the dataset into x and y for training and for some reason I kept getting an attribute errors.

Attempt

...

ANSWER

Answered 2022-Mar-25 at 16:15

If you look here. You will find as_matrixis deprecated. You can use .values instead.

Source https://stackoverflow.com/questions/71619998

QUESTION

Cannot plot inline plotly charts in Jupyter Notebook using C#

Asked 2022-Mar-15 at 15:44

Hello I am trying to plot a chart in Jupyter Notebook. I have been following this tutorial.

I am using the following nuget packages to read a data and then plot it using plotly

So I have this block of code which produces a scatter plot,

...

ANSWER

Answered 2021-Sep-21 at 21:31

I was able to show the plot using latest XPlot version and interactive (XPlot.Plotly.Interactive) package :

Source https://stackoverflow.com/questions/69274792

QUESTION

Databricks Feature Store - Can I use native Python (instead of PySpark) to create features?

Asked 2022-Mar-12 at 08:59

I would like to create a feature table with some popular time series features using out of the box feature transformations provided by popular python packages such as ta-lib or pandas-ta - these packages rely on numpy/pandas and not Spark dataframes.

Can this be done with Databricks Feature Store?

In the documentation I could only find feature creation examples using Spark dataframes.

...

ANSWER

Answered 2022-Mar-12 at 08:59

When it comes to creation - yes, you can do it using Pandas. You just need to convert Pandas DataFrame into Spark DataFrame before creating the feature store or writing new data into it. The simplest way to do it is to use spark.createDataFrame function, passing Pandas DataFrame to it as an argument.

Source https://stackoverflow.com/questions/71447864

QUESTION

Getting Error 0 when plotting boxplot of a filtered dataset

Asked 2022-Mar-11 at 15:48

I am working on the Kaggle: Abalone dataset and I am facing a weird problem when plotting a boxplot.

...

ANSWER

Answered 2022-Mar-10 at 10:38

If you want a box plot per value of a categorical column I suggest:

Source https://stackoverflow.com/questions/71422431

QUESTION

Read online excel file with a specific sheet and only selected columns

Asked 2022-Mar-10 at 09:19

I have to read through pandas the CTG.xls file from the following path: https://archive.ics.uci.edu/ml/machine-learning-databases/00193/.

From this file I have to select the sheet Data. Moreover I have to select from column K to the column AT of the file. So at the end one have a dataset with these column:

["LB","AC","FM","UC","DL","DS","DP","ASTV","MSTV","ALTV" ,"MLTV" ,"Width","Min","Max" ,"Nmax","Nzeros","Mode","Mean" ,"Median" ,"Variance" ,"Tendency" ,"CLASS","NSP"]

How can I do this using the read function in pandas?

...

ANSWER

Answered 2022-Mar-10 at 09:19

Use:

Source https://stackoverflow.com/questions/71421344

QUESTION

Fisher score error - Length of value does not match length of index?

Asked 2022-Mar-03 at 13:46

I am working on ML problem, trying to compute the fisher score for feature selection purpose

...

ANSWER

Answered 2022-Mar-03 at 13:46

The inputs to the fisher_score method is expected a numpy array not a pandas dataframe/series.

Try this:

Source https://stackoverflow.com/questions/71337738

QUESTION

'Expected in: /usr/lib/libc++.1.dylib': Installing Tensorflow on M1 MacBook Pro

Asked 2022-Feb-18 at 20:06

I am trying to install Tensorflow on my MacBook Pro with the M1 chip. The operating system of my MacBook is MacOS Big Sur Version 11.0.

In order to install Tensorflow to use it with Python, I have followed this tutorial, which says that I have to do the following:

Install Homebrew.
Download MiniForge3 for macOS arm64 chips (link provided in the webpage).
Install MiniForge3 using:
...

ANSWER

Answered 2022-Feb-18 at 20:06

check the message details: (which was built for Mac OS X 12.3)

you need to upgrade macOS to 12.3

Source https://stackoverflow.com/questions/71174306

QUESTION

Using keras.layers.Normalization for preprocessing, the adapt call freezes

Asked 2022-Feb-02 at 16:23

I am using keras.layers.Normalization for preprocessing a csv dataset returned from make_csv_dataset. The execution freezes at adapt(ds) call. No output for error, it just executes adapt forever. I have tried using pandas for normalization, it completed in seconds.

System info:

tensorflow 2.7.0
cuda 11.0
3080ti mobile
i9-10980HK CPU @ 2.40GHz, 3096 Mhz, 8 Core(s), 16 Logical Processor(s) OS Name Microsoft
Windows 11 Home

...

ANSWER

Answered 2022-Feb-02 at 16:04

You have to set the parameter to num_epochs to 1 in make_csv_dataset, since the default value is None and it causes an infinite loop as stated in the docs:

An int specifying the number of times this dataset is repeated. If None, cycles through the dataset forever.

Working example:

Source https://stackoverflow.com/questions/70958528

QUESTION

How to get correct encoding on R on SQL Server when executing external script in SSMS?

Asked 2022-Jan-31 at 14:02

We have installed R 4.1 on one server and it produces gibberish when running external script through SSMS (SQL Server Management Studio). We used this guide when installing: Install an R custom runtime for SQL Server

...

ANSWER

Answered 2021-Sep-13 at 20:20

SMSS has a default encoding of UTF-16. You should be able to change the default encoding in R to that or this article details how to change it within SSMS. I'm not sure if this will work but at this point, it can't hurt to try.

Best of luck

Source https://stackoverflow.com/questions/68743292

QUESTION

Incorrect images path in production build - Vue.js

Asked 2022-Jan-24 at 11:27

I'm building my project with Vue.js 3, Vite.js. The app works fine when in dev mode (when using the dev server). Once I do launch the build command, Vite creates for me the /dist directory containing the build for my app. If I run the preview command (vite preview) it starts with no problem the preview of my build.

The problem is with some images which are coming from Vue components. All the images of my project are in the src/assets directory.

...

ANSWER

Answered 2022-Jan-24 at 11:27

Instead of using relative path (..) to the assets folder, you can use @/assets from any of the vue components to refer to files in the assets folder.

E.g this should work, no matter how deep the Vue component is nested.

Source https://stackoverflow.com/questions/70811770

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

Vulnerabilities

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Install machine-learning

You can download it from GitHub.

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