|3 days ago||2 days ago|
|BSD 3-clause "New" or "Revised" License||BSD 3-clause "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.
Data Science toolset summary from 2021
13 projects | dev.to | 13 Nov 2021
Scikit-learn - 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, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Link - https://scikit-learn.org/
Intel Extension for Scikit-Learn
4 projects | news.ycombinator.com | 1 Nov 2021
Currently some works is being done to improve computational primitives of scikit-learn to enhance its overhaul performances natively.
You can have a look at this exploratory PR: https://github.com/scikit-learn/scikit-learn/pull/20254
This other PR is a clear revamp of this previous one:
Scikit-Learn Version 1.0
11 projects | news.ycombinator.com | 14 Sep 2021
Just to clarify, scikit-learn 1.0 has not been released yet. The latest tag in the github repo is 1.0.rc2
Top 10 Python Libraries for Machine Learning
14 projects | dev.to | 9 Sep 2021
Website: https://scikit-learn.org/ Github Repository: https://github.com/scikit-learn/scikit-learn Developed By: SkLearn.org Primary Purpose: Predictive Data Analysis and Data Modeling
where is binary_metric function in sklearn package
1 project | reddit.com/r/learnmachinelearning | 20 Aug 2021
There is a function named binary_metric in https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/metrics/_base.py
Use Scikit-Learn and Runflow
2 projects | dev.to | 6 Jul 2021
If you're not familiar with Scikit-learn and Runflow,
Confused as to what exaclty a piece of code does
1 project | reddit.com/r/learnmachinelearning | 18 Jun 2021
well you can start at https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/model_selection/_validation.py, or maybe someone will guide you later
What Makes Python Libraries So Important For Data Science Learning?
3 projects | reddit.com/r/u_Snoo36930 | 16 Jun 2021
Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, 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?
1 project | reddit.com/r/learnpython | 19 May 2021
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?
1 project | reddit.com/r/LearnML | 10 May 2021
The source code for the function you refer to is quite straightforward anyway. The definition of count_nonzero() is here.
How to automate financial data collection and storage in CrateDB with Python and pandas
1 project | dev.to | 25 Nov 2021
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
1 project | reddit.com/r/lostgeneration | 22 Nov 2021
Should I do a CompSci course or just keep practicing my Python?
1 project | reddit.com/r/learnpython | 21 Nov 2021
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.
1 project | reddit.com/r/Cython | 18 Nov 2021
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?
1 project | reddit.com/r/learnpython | 11 Nov 2021
I installed pandas using this site: https://pandas.pydata.org/.
Learning Python on the Job
2 projects | dev.to | 11 Nov 2021
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
3 projects | dev.to | 9 Nov 2021
Cleaning, manipulating and analysing the extracted data using Pandas.
Help creating a code and table
1 project | reddit.com/r/learnpython | 7 Nov 2021
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
1 project | reddit.com/r/learnpython | 6 Nov 2021
pip show pandas Name: pandas Version: 1.3.4 Summary: Powerful data structures for data analysis, time series, and statistics Home-page: https://pandas.pydata.org Author: The Pandas Development Team Author-email: [email protected] License: BSD-3-Clause Location: /home/pi/.local/lib/python3.7/site-packages Requires: python-dateutil, numpy, pytz Required-by:
Generate a downloadable file of list
1 project | reddit.com/r/flask | 4 Nov 2021
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 - Light-weight Python OLAP framework for multi-dimensional 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 non-linear 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
NumPy - The fundamental package for scientific computing with Python.
SymPy - A computer algebra system written in pure Python