scikitlearn
Pandas
Our great sponsors
scikitlearn  Pandas  

24  120  
48,081  31,817  
1.6%  2.2%  
9.9  10.0  
3 days ago  2 days ago  
Python  Python  
BSD 3clause "New" or "Revised" License  BSD 3clause "New" or "Revised" License 
Stars  the number of stars that a project has on GitHub. Growth  month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
scikitlearn

Data Science toolset summary from 2021
Scikitlearn  It is one of the most widely used frameworks for Python based Data science tasks. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, kmeans and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Link  https://scikitlearn.org/

Intel Extension for ScikitLearn
Hi all,
Currently some works is being done to improve computational primitives of scikitlearn to enhance its overhaul performances natively.
You can have a look at this exploratory PR: https://github.com/scikitlearn/scikitlearn/pull/20254
This other PR is a clear revamp of this previous one:

ScikitLearn Version 1.0
Just to clarify, scikitlearn 1.0 has not been released yet. The latest tag in the github repo is 1.0.rc2
https://github.com/scikitlearn/scikitlearn/releases/tag/1....

Top 10 Python Libraries for Machine Learning
Website: https://scikitlearn.org/ Github Repository: https://github.com/scikitlearn/scikitlearn Developed By: SkLearn.org Primary Purpose: Predictive Data Analysis and Data Modeling

where is binary_metric function in sklearn package
There is a function named binary_metric in https://github.com/scikitlearn/scikitlearn/blob/main/sklearn/metrics/_base.py

Use ScikitLearn and Runflow
If you're not familiar with Scikitlearn and Runflow,

Confused as to what exaclty a piece of code does
well you can start at https://github.com/scikitlearn/scikitlearn/blob/main/sklearn/model_selection/_validation.py, or maybe someone will guide you later

What Makes Python Libraries So Important For Data Science Learning?
Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as ScikitLearn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc.

Is there a way to map cluster centers back to a dataframe?
To avoid the issue with convergence (and the discrepancy between the labels_ and cluster_centers_), you can set tol=0, though this can of course lead to issues if convergence is a problem. There was an issue about it here. Assuming it's converged, then the order is fine.

Any from scratch Hamming Loss implementations?
The source code for the function you refer to is quite straightforward anyway. The definition of count_nonzero() is here.
Pandas

How to automate financial data collection and storage in CrateDB with Python and pandas
Pandas is a famous package in Python, often used for Data Science. It shortens the process of handling data, has complete yet straightforward data representation forms, and makes tasks like filtering data easy.
 It annoys me how people blame students for majoring in the wrong majors

Should I do a CompSci course or just keep practicing my Python?
Okay, if you don't need persistent storage, it will.be MUCH easier to use pandas to access the dataset you need. I suggest getting familiar with it, just do it for practice here. Here's a guide

[Pandas] Struggling to see what these lines achieve, any help appreciated.
It is a lot older, if you trace the git blame it was introduced first in this commit and apparently came from scikits.timeseries. I've yet to go look in that package to see.

New to pandas trying to figure out datasets and best place to learn?
I installed pandas using this site: https://pandas.pydata.org/.

Learning Python on the Job
A fast and easy to use customer website feedback analytics toolkit and workflow using pandas, NumPy and sqlite that replaced a gigantic excel workbook that crashed if you looked at it funny. (another thing I picked up on the job was SQL, which was a snap with python).

Analyzing Kenya Power Planned Interruption Data
Cleaning, manipulating and analysing the extracted data using Pandas.

Help creating a code and table
Also general note, for two dimensional data, the answer almost always involves pandas: https://pandas.pydata.org/

Trying to import plotly.express but get this error even though pandas is installed: ImportError: Plotly express requires pandas to be installed
pip show pandas Name: pandas Version: 1.3.4 Summary: Powerful data structures for data analysis, time series, and statistics Homepage: https://pandas.pydata.org Author: The Pandas Development Team Authoremail: [email protected] License: BSD3Clause Location: /home/pi/.local/lib/python3.7/sitepackages Requires: pythondateutil, numpy, pytz Requiredby:

Generate a downloadable file of list
I don't know about Vanilla flask (haven't seen anything about it), but I know you can use Pandas for something like this.
What are some alternatives?
Cubes  Lightweight Python OLAP framework for multidimensional data analysis
Keras  Deep Learning for humans
orange  🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Surprise  A Python scikit for building and analyzing recommender systems
Prophet  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or nonlinear growth.
tensorflow  An Open Source Machine Learning Framework for Everyone
Dask  Parallel computing with task scheduling
gensim  Topic Modelling for Humans
Airflow  Apache Airflow  A platform to programmatically author, schedule, and monitor workflows
PyBrain
NumPy  The fundamental package for scientific computing with Python.
SymPy  A computer algebra system written in pure Python