Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
JSTOR Daily

Machine Learning Made Easy: A Review of "Scikit-learn" Package in Python Programming Language

Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 ...
InfoWorld

The best machine learning and deep learning libraries

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...
CoinTelegraph

5 real-world Python applications 

Python, a versatile and user-friendly programming language, has gained immense popularity for its simplicity and power. Its extensive libraries and frameworks have paved the way for innovative ...
Search Engine Land

Here’s how I used Python to build a regression model using an e-commerce dataset

If you want to advance your data science skill set, Python can be a valuable tool for SEOs to generate deep data insights to help your brand. The programming language of Python is gaining popularity ...
Visual Studio Magazine

Naive Bayes Classification Using the scikit Library

Dr. James McCaffrey of Microsoft Research shows how to predict a person's sex based on their job type, eye color and country of residence. Naive Bayes classification is a classical machine learning ...
InfoWorld

14 open source tools to make the most of machine learning

Spam filtering, face recognition, recommendation engines — when you have a large data set on which you’d like to perform predictive analysis or pattern recognition, machine learning is the way to go.