Get Similar customers (or rows) in data using DNA Matching Algorithms and Artificial Intelligence on your data!
Project description
linkedlabs
This project is created as a Generic solution to find most similar rows(or customers) in a given dataset using DNA matching Algorithms and Artificial Intelligence.
Installation
Run the following to install:
pip install linkedlabs
Usage
import linkedlabs
# Generate "Hello, World!"
linkedlabs.say_hello()
# Generate "Hello, Everybody!"
linkedlabs.say_hello("Everybody")
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
linkedlabs-1.0.1.tar.gz
(17.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file linkedlabs-1.0.1.tar.gz.
File metadata
- Download URL: linkedlabs-1.0.1.tar.gz
- Upload date:
- Size: 17.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.10.1 pkginfo/1.4.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2b2537cee2ce640061ecbc226a1b6a935d0628ccee54a67262f2bd54f8ef2980
|
|
| MD5 |
70c094a92eda752071dc2f51d935ee14
|
|
| BLAKE2b-256 |
962a13be2938dad63b393283aa7d54d79bf3741ea6b6d0ec20f7e4388314285a
|
File details
Details for the file linkedlabs-1.0.1-py3-none-any.whl.
File metadata
- Download URL: linkedlabs-1.0.1-py3-none-any.whl
- Upload date:
- Size: 17.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.10.1 pkginfo/1.4.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
936397703eb78ed985caf71ffdd649c20c0c9af7471730badd10f0b566af2528
|
|
| MD5 |
d3951005903cc8fbdb4f323c37bea2c2
|
|
| BLAKE2b-256 |
aec0f6e5931684fa0c4b0763a61aceb287f2b8a6265b2e443509d3b0dad441b8
|