|7 days ago||1 day ago|
|BSD 3-clause "New" or "Revised" License||Apache License 2.0|
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.
Best Websites For Coders
51 projects | dev.to | 25 Jan 2023
Scikit-learn : A Python module for machine learning build on top of SciPy
scikit-learn VS Rath - a user suggested alternative
2 projects | 12 Jan 2023
Boston Dataset was Removed from scikit-learn 1.2
2 projects | news.ycombinator.com | 30 Dec 2022
Can you really call this "banning the dataset"? https://github.com/scikit-learn/scikit-learn/commit/8a86e219...2 projects | news.ycombinator.com | 30 Dec 2022
2 projects | reddit.com/r/u_Matusadona_Wild303 | 25 Oct 2022
Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
5 projects | dev.to | 23 Oct 2022
The concepts are similar to the Scikit-learn project. They follow Spark’s “ease of use” characteristic giving you one more reason for adoption. You will learn more about these main concepts in this guide.
How do you programmers make sense of production-level code?
2 projects | reddit.com/r/learnprogramming | 20 Oct 2022
If you look at the README for scikit-learn on GitHub, they say this.2 projects | reddit.com/r/learnprogramming | 20 Oct 2022
Take a smaller segment to look at. Opening up the front page to a Github repo can be quite daunting. https://github.com/scikit-learn/scikit-learn
Talking Data: What do we need for engaging data analytics?
4 projects | dev.to | 6 Oct 2022
Many data workers are complaining about the fierce competition in the data area. Fortunately, the situation seems to be improving. Data analysts had to manually analyze distribution charts for deep insights, but now they can use smart machine learning models to automate this process. Traditional data analysis and modeling skills have been gradually becoming easy. For instance, Power BI or Tableau allow users to use a drag-and-drop low-code fashion to generate visual charts and models, whilst the old way is to import Python libraries such as pandas, matplotlib and sklearn to do the same in Jupyter Notebook. Open-source projects Apache Superset and Metabase allow users to easily analyze data on the web pages. This is quite similar to the development of digital cameras, from the film cameras to digital cameras and to smartphone cameras used by everyone. With lower and lower technical barriers, the whole industry can be developing fast. "Everyone can be data analyst" will no longer be a fantasy.
A few (unordered) thoughts about data (1/2)
6 projects | dev.to | 5 Oct 2022
A Tiny Grammar of Graphics
4 projects | news.ycombinator.com | 14 Jun 2022
20+ Free Tools & Resources for Machine Learning
5 projects | dev.to | 31 Mar 2022
H2O.ai H2O is a deep learning tool built in Java. It supports most widely used machine learning algorithms and is a fast, scalable machine learning application interface used for deep learning, elastic net, logistic regression, and gradient boosting.
Data Science Competition
15 projects | dev.to | 25 Mar 2022
What are some alternatives?
Keras - Deep Learning for humans
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Surprise - A Python scikit for building and analyzing recommender systems
tensorflow - An Open Source Machine Learning Framework for Everyone
gensim - Topic Modelling for Humans
MLflow - Open source platform for the machine learning lifecycle
seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
pycaret - An open-source, low-code machine learning library in Python